Masahiro Yukawa – Publications
Professor,
Department of Electronics and Electrical Engineering,
Keio University, JAPAN
Book Chapter

Daniyal Amir Awan, Renato Luis Garrido Cavalcante, Masahiro Yukawa,
and Slawomir Stanczak,
"Adaptive Learning for Symbol Detection:
A Reproducing Kernel Hilbert Space Approach,"
in Machine Learning for Future Wireless Communications,
Chapter 11, Editor: FaLong Luo, pp.197211, Wiley, 2020.

Isao Yamada, Masahiro Yukawa, and Masao Yamagishi,
"Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi nonexpansive mappings,"
in
FixedPoint Algorithms for Inverse Problems in Science and Engineering (H. H. Bauschke, R. Burachik, P. L. Combettes, V. Elser, D. R. Luke, and H. Wolkowicz, eds.),
pp. 345390, Springer, 2011.
[
PDF]
Tutorial Papers
 湯川正裕,
第一回：凸解析的アプローチへのプロムナード,
日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ,
78巻 8号, pp. 457464, 2022.
(Masahiro Yukawa, ``Lecture Series 1: A Friendly Guidance to Convex Analytic
Approach,"
)
 湯川正裕，
第二回：凸解析に基づく信号処理への招待,
日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ,
78巻 9号, pp.540547, 2022.
(Masahiro Yukawa, ``Lecture Series 2: A Guided Tour to Convex Analysis in Adaptive
Signal Processing,"
)
 湯川正裕，第三回：不動点近似型適応アルゴリズムと応用,
日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ,
78巻 10号, pp.606614, 2022.
(Masahiro Yukawa, ``Lecture Series 4: Convex Analytic Approach to
Adaptive Signal Processing,"
)
 湯川正裕,
第四回：再生核に基づく非線形数理モデル,
日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ,
78巻 11号, pp.692699, 2022.
(Masahiro Yukawa, ``Lecture Series 4: Nonlinear Mathematical Model Based on Reproducing Kernel,"
)
 湯川正裕,
第五回(最終): 非線形適応フィルタと応用：再生核と不動点近似型
アルゴリズムの出会い,
日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ,
78巻 12号, pp.730739, 2022.
(Masahiro Yukawa, ``Lecture Series 5: Lecture Series 5 (The Final):
Nonlinear Adaptive Filter and Applications: Where Reproducing Kernel Meets
FixedPoint Iteration,"
)
 湯川正裕，スパース表現と凸最適化に基づく非負値行列因子分解と音楽信号処理への応用
SCAT 技術情報誌 TELECOM FRONTIER, No.96, 2017, AUTUMN.
[PDF]
(Masahiro Yukawa, "Nonnegative matrix factorization based on sparse representation and convex optimization: an application to music signal processing,"
TELECOM FRONTIER, No.96, 2017, SPRING.)
 湯川正裕，Adaptive Learning with Reproducing Kernels，
数理解析研究所講究録1980（再生核の応用についての総合的な研究),
京都大学数理解析研究所, pp.115, 2016年1月.
Masahiro Yukawa, Adaptive Learning with Reproducing Kernels,
RIMS Kokyuroku 1980 (General Topics on applications of reproducing kernels),
Research Institute for Mathematical Sciences, Kyoto University,
pp.115, January 2016.
 湯川正裕，音響適応信号処理と最適化：スパース性の活用，
日本音響学会誌, 71巻 11号, pp.615623, 2015.
 湯川正裕，非線形適応信号処理技術の新潮流:再生核の応用,
電子情報通信学会誌 Vol.97, No.10, pp.876882, 2014年10月.
[PDF]
(Masahiro Yukawa, "A New Stream of Nonlinear Adaptive Signal Processing Technique : An Application of Reproducing Kernel,", Proceedings of IEICE, vol.97, no.10, pp.876882, October 2014. [PDF])

湯川正裕，適応信号処理の一般理論の探求：不動点近似と時変計量射影を軸にして
SCAT 技術情報誌 TELECOM FRONTIER, No.75, 2012, SPRING.
[PDF]
(Masahiro Yukawa, "Pursuing the general theory of adaptive signal processing :
An approach based on fixed point approximation and variablemetric projection,"
TELECOM FRONTIER, No.75, 2012, SPRING. [PDF])
Articles in Journals
 Maximilian Henri Vincent Tillmann and Masahiro Yukawa,
``Distributed Stable OutlierRobust Regression Using Minimax Concave Loss: Convexity Preservation of Local and Global Objectives,''
submitted for publication.
 Daniyal Amir Awan, Renato L.G. Cavalcante, Masahiro
Yukawa, and Slawomir Stanczak, ``Robust Online Multiuser Detection: A Hybrid ModelData Driven Approach,''
IEEE Trans. Signal Processing, vol.71, pp.21032117, 2023.
 Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada,
``Linearlyinvolved MoreauEnhancedoverSubspace Model: Debiased
Sparse Modeling and Stable OutlierRobust Regression''
IEEE Trans. Signal Processing, vol.71, pp.12321247, 2023.
 Kyohei Suzuki and Masahiro Yukawa,
``Sparse Stable OutlierRobust Signal Recovery Under Gaussian Noise,''
IEEE Trans. Signal Processing, vol.71, pp.372387, 2023.

Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega,
``Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields,''
IEICE Trans. Fundamentals,
vol.E106A, no.1, pp.23―34, January 2023.
 Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante,
``Distributed Sparse Optimization with Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties towards Global Optimality,"
IEEE Trans. Signal and Information Processing over Networks,
vol.8, pp.514527, 2022.
 T. Kono, M. Yukawa, and T. Piotrowski,
``Relaxed ZeroForcing Beamformer under TemporallyCorrelated Interference,''
Signal Processing, Elsevier, vol.190, pp.114, Jan. 2021.
 Kwangjin Jeong and Masahiro Yukawa,
``Kernel weights for equalizing kernelwise convergence rates of multikernel adaptive filtering,"
IEICE Trans. Fundamentals, vol.E104A, no.6, pp.927―939, June 2021.
 Masaaki Takizawa and Masahiro Yukawa,
``Joint learning of model parameters and coefficients for online
nonlinear estimation,"
IEEE Access, vol.9, pp.2402624040, 2021. (Publication: January 2021)
 Kyohei Suzuki and Masahiro Yukawa,
``Robust recovery of jointlysparse signals using minimax concave loss function,"
IEEE Trans. Signal Processing, vol.69, pp.669681, 2021.
(Article DOI: 10.1109/TSP.2020.3044445)
(Publication: December 2020)
 Asahi Ushio and Masahiro Yukawa,
``Projectionbased regularized dual averaging for stochastic optimization,"
IEEE Trans. Signal Processing, vol.67, no.10, pp.27202733, May 2019.
 BanSok Shin, Masahiro Yukawa, Renato Luis Garrido Cavalcante, and Armin Dekorsy,
``Distributed adaptive learning with multiple kernels in diffusion networks,"
IEEE Trans. Signal Processing, vol.66, no.21, pp.55055519, Nov. 2018.
 Motoya Ohnishi and Masahiro Yukawa,
``Online nonlinear estimation via iterative L2space projections:
reproducing kernel of subspace,"
IEEE Trans. Signal Processing,
vol.66, no.15, pp.40504064, August 2018.
 Masahiro Yukawa and Hideaki Kagami,
``Supervised nonnegative matrix factorization via minimization of regularized Moreauenvelope of divergence function with application to music transcription", Journal of the Franklin Institute, Special Issue on Recent Advances in Machine Learning for Signal Analysis and Processing, Volume 355, Issue 4, pp. 20412066, March 2018. (Invited by Prof. Zhiping Lin of NTU, Singapore).
link
 Osamu Toda and Masahiro Yukawa,
`` Online modelselection and learning for nonlinear estimation based on multikernel adaptive filtering", IEICE Trans. Fundamentals, vol.E100A, no.1, pp.236250, January 2017.
 Masahiro Yukawa and Klaus R. Müller,
``Why does a Hilbertian metric work efficiently in online learning with kernels?",
IEEE Signal Processing Letters,
vol. 23, no. 10, pp. 14241428, October 2016.
 Masaaki Takizawa and Masahiro Yukawa,
``Efficient dictionaryrefining kernel adaptive filter with fundamental insights",
IEEE Trans. Signal Processing,
vol.64, no.16, pp.43374350, August 2016.
 Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, and Masahiro Yukawa,
``Kernelbased adaptive online reconstruction of coverage maps with side information",
IEEE Trans. Vehicular Technology,
vol.65, no.7, pp.54615473, July 2016.
 Masahiro Yukawa and Shunichi Amari,
``Lpregularized least squares (0<p<1) and critical path", IEEE Trans. Information Theory, vol.62, no.1, pp.488502, January 2016.
 Masahiro Yukawa,
``Adaptive learning in Cartesian product of reproducing kernel Hilbert spaces",
IEEE Trans. Signal Processing,
vol.63, no.22, pp.60376048, November 2015.
 Masaaki Takizawa and Masahiro Yukawa,
``Adaptive nonlinear estimation based on parallel projection along affine subspaces in reproducing kernel Hilbert space",
IEEE Trans. Signal Processing,
vol.63, no.16, pp.42574269, August 2015.
 Kwangjin Jeong, Masahiro Yukawa, and Shunichi Amari,
``Can CriticalPoint Paths Under Lpregularization (0<p<1)
Reach the Sparsest Least Squares Solutions?", IEEE Trans. Information
Theory, vol.60, no.5, pp.29602968, May 2014.
 Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi,
``An efficient adaptive filtering scheme based on combining multiple metrics",
IEICE Trans. Fundamentals, vol.E97A, no.3, pp.800808, March 2014.
 Natsuki Aizawa, Shogo Muramatsu, and Masahiro Yukawa,
``Image restoration with multiple DirLOTs,"
IEICE Trans. Fundamentals, vol.E96A, no.10, pp.19541961, October 2013.
 Shunichi Amari and Masahiro Yukawa,
``Minkovskian gradient for sparse optimization,"
IEEE Journal of Selected Topics in Signal Processing,
vol.4, no.4, pp.576585, August 2013.
 Juho Park, Gilwon Lee, Youngchul Sung, and Masahiro Yukawa,
``Coordinated beamforming with relaxed zero
forcing: the sequential orthogonal projection
combining method and rate control", IEEE Trans. Signal Processing,
vol. 61, no.12 , pp.31003112, June 15, 2013.
 Masahiro Yukawa, Youngchul Sung, and Gilwon Lee,
``Dualdomain adaptive beamformer under linearly and quadratically constrained minimum variance", IEEE Trans. Signal Processing,
vol. 61, no. 11, pp.28742886, June 1, 2013.
 Masahiro Yukawa, ``Multikernel adaptive filtering", IEEE Trans.
Signal Processing,
vol. 60, no. 9, pp.46724682, September 2012.
 Masahiro Yukawa and Isao Yamada,
``Settheoretic adaptive filtering based on datadriven sparsification,''
International Journal of Adaptive Control and Signal Processing,
vol. 25, pp.707722, Wiley, 2011. (Article first published online: 29 MAR 2011)

Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, Shogo Muramatsu,
"An investigation on the quality of denoised images, International Journal of Circuits, Systems, and Signal Processing,`` Issue 4, Volume 5, pp.423434, July 2011.
 Lei Wang, Rodrigo C. de Lamare, and Masahiro Yukawa,
``Adaptive reducedrank constrained constant modulus algorithms based on joint iterative optimization
of filters for beamforming,'' IEEE Trans. Signal Processing,
vol. 58, no. 6, pp.29832997, June 2010.
 Masahiro Yukawa and Wolfgang Utschick,
``A fast stochastic gradient algorithm: Maximal use of sparsification benefits under computational constraints,''
IEICE Trans. Fundamentals, vol. E93A, no. 2, pp.467475, February 2010.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
``Multidomain adaptive learning based on feasibility splitting
and adaptive projected subgradient method,''
IEICE Trans. Fundamentals, vol. E93A, no. 2, pp.456466, February 2010.
 Masahiro Yukawa and Isao Yamada,
``A unified view of adaptive variablemetric projection algorithms,''
EURASIP Journal on Advances in Signal Processing,
vol. 2009, Article ID 589260, pp.113, 2009
[
PDF]. (published on 15 December 2009)
 Masahiro Yukawa, Rodrigo C. de Lamare, and Isao Yamada,
``Robust reduced rank adaptive algorithm
based on parallel subgradient projection and Krylov subspace,'' IEEE Trans. Signal Processing,
vol. 57, no. 12, pp.46604674, December 2009.
 Masahiro Yukawa,
``Krylovproportionate adaptive filtering techniques not limited to sparse systems,''
IEEE Trans. Signal Processing, vol. 57, no. 3, pp.927943, March 2009.
[Basic Concepts]
 Masahiro Yukawa, Ken Umeno, and Gen Hori,
``Employing LSF at transmitter eases MMSE adaptation at receiver in asynchronous CDMA systems,''
EURASIP Journal on Wireless Communications and Networking,
vol. 2008, Article ID 298784, pp.19, 2008
[
PDF]. (18 January 2009)
 Masahiro Yukawa, Rodrigo C. de Lamare, and Raimundo SampaioNeto,
``Efficient acoustic echo cancellation
with reducedrank adaptive filtering
based on selective decimation and adaptive interpolation,''
IEEE Trans. Audio, Speech and Language Processing,
vol. 16, no. 4, pp.696710, May 2008.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
"Adaptive parallel quadraticmetric projection algorithms,"
IEEE Trans. Audio, Speech and Language Processing,
vol. 15, no. 5, pp.16651680, July 2007.
 Masahiro Yukawa and Isao Yamada,
``Pairwise optimal weight realization
Acceleration technique for settheoretic
adaptive parallel subgradient projection algorithm,"
IEEE Trans. Signal Processing, vol. 54, no. 12, pp.45574571, Dec. 2006.
 Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada,
``An efficient distributed power control for infeasible downlink scenarios  Globallocal fixedpointapproximation technique,"
IEICE Trans. Fundamentals, vol. E89A, no. 8, pp.21072118, Aug. 2006.
 Masahiro Yukawa, Noriaki Murakoshi, and Isao Yamada,
``Efficient fast stereo acoustic echo cancellation
based on pairwise optimal weight realization technique,"
EURASIP Journal on Applied Signal Processing
(Special Issue on Advances in Multimicrophone Speech Processing)
,
vol. 2006,
Article ID 84797, 15 pages, 2006
[
PDF]. (published on 16 April 2006)

Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada,
``Efficient blind MAI suppression in DS/CDMA systems
by embedded constraint parallel projection techniques,"
IEICE Trans. Fundamentals, vol. E88A, no. 8, pp.20622071, Aug. 2005
[
PDF].
[Excellent Paper Award of IEICE, YasujiroNiwa Outstanding Paper Award]
 Masahiro Yukawa and Isao Yamada,
``Efficient adaptive stereo echo canceling schemes
based on simultaneous use of multiple state data,"
IEICE Trans. Fundamentals, vol. E87A, no. 8, pp.19491957, Aug. 2004.
PeerReviewed Articles in Conference Proceedings

Keisuke Takazawa, Hirokazu Kameoka, and Masahiro Yukawa,
``Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra,''
In Proceedings of AsiaPacific Signal and Information Processing
Association Annual Summit and Conference (APSIPA ASC), Taipei: Taiwan, pp. 20082012, November 2023.

Maximilian Henri Vincent Tillmann and Masahiro Yukawa, ``Distributed Stable OutlierRobust Signal Recovery Using Minimax Concave Loss,'' in Proceedings of IEEE International Workshop on Machine Learning for
Signal Processing (MLSP), 6 pages, Rome: Italy, 2023.

Takumi Ichinose, Masahiro Yukawa, and R.L.G. Cavalcante, ``Online KernelBased Quantile Regression
Using Huberized Pinball Loss,'' in Proceedings of EUSIPCO (European Signal Processing
Conference), pp.18031807, Helsinki, September 2023.

Eiji Ninomiya, Masahiro Yukawa, Renato L. G. Cavalcante and Lorenzo Miretti,
``Estimation of Angular Power Spectrum Using Multikernel Adaptive
Filtering,'' AsiaPacific Signal and Information Processing
Association Annual Summit and Conference (APSIPA ASC), Chiang Mai: Thailand, pp. 19962000, November 2022. (doi: 10.23919/APSIPAASC55919.2022.9980067)

Tatsuya Koyakumaru and Masahiro Yukawa,
``An Efficient Robust Graph Learning Approach Based on Minimax Concave Penalty and γCross Entropy,"
in Proceedings of EUSIPCO (European Signal Processing
Conference), pp.17761780, AugustSeptember 2022.

Masahiro Yukawa, Kyohei Suzuki, and Isao Yamada,
``'Stable Robust Regression under Sparse Outlier and Gaussian Noise,"
in Proceedings of EUSIPCO (European Signal Processing
Conference), pp.22362240, AugustSeptember 2022.

Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante,
``Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality,"
in Proceedings of EUSIPCO (European Signal Processing
Conference), pp.18411845, AugustSeptember 2022.

Kyohei Suzuki and Masahiro Yukawa,
``On Grouping Effect Of Sparse Stable OutlierRobust Regression,"
submitted.
in Proceedings of IEEE International Workshop on Machine Learning for
Signal Processing (MLSP), 6 pages, 2022.

Kyohei Suzuki and Masahiro Yukawa,
``Sparse Stable OutlierRobust Regression with Minimax Concave Function,"
submitted.
in Proceedings of IEEE International Workshop on Machine Learning for
Signal Processing (MLSP), 6 pages, August 2022.

Masaaki Takizawa and Masahiro Yukawa,
``A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians,''
in Proceedings of
APSIPA Annual Summit and Conference, Special Session:
Online and Distributed Kernel Learning Algorithms,
Dec. 2021.
 Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante,
``Distributed sparse optimization with minimax concave
regularization," in Proceedings of IEEE Statistical Signal
Processing Workshop,
Special Session: Signal Modelling, Adaptive Learning and Applications,
pp.15, July 2021.

Konstantinos Slavakis, Masahiro Yukawa, ``Outlierrobust kernel hierarchicaloptimization rls on a budget with affine constraints," in Proceedings of 46th IEEE ICASSP, pp.53155319 , 2021

Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega, ``A
Graph Learning Algorithm Based on Gaussian Markov Random Fields and
Minimax Concave Penalty," in Proceedings of 46th IEEE ICASSP, pp.53905394, 2021

Kyohei Suzuki and Masahiro Yukawa,
``Robust jointlysparse signal recovery based on minimax concave loss function,"
in Proceedings of EUSIPCO (European Signal Processing Conference), pp.20702074, January 2021.

Hiroyuki Kaneko and and Masahiro Yukawa, ``Normalized leastmeansquare
algorithms with minimax concave penalty," in Proceedings of 45th IEEE
ICASSP, pp.54405444 , 2020.

Masaaki Takizawa and Masahiro Yukawa, ``Steepening squared error
function facilitates online adaptation of Gaussian scales," in
Proceedings of 45th IEEE ICASSP, pp.54455449, 2020.

Ran Iwamoto and Masahiro Yukawa,
``Sentiment analysis based on multikernel adaptive filtering: an online approach to multiscale data classification,"
in Proceedings of EUSIPCO (European Signal Processing Conference), 5 pages, 2019.

Masaaki Takizawa and Masahiro Yukawa,
``Online learning with selftuned Gaussian kernels: good
kernelinitialization by multiscale screening,``
in Proceedings of 44th IEEE ICASSP, pp.48634867,
Brighton, U.K.,
May 2019.

Kwangjin Jeong and Masahiro Yukawa,
``Automatic kernel weighting for multikernel adaptive filtering: multiscale aspects,"
in Proceedings of 44th IEEE ICASSP, pp.31523156,
Brighton, U.K., May 2019.

Takehiro Kono, Masahiro Yukawa, and Tomasz Piotrowski,
``Beamformer design under timecorrelated interference and online implementation: brainactivity reconstruction from EEG,"
in Proceedings of 44th IEEE ICASSP, pp.10701074,
Brighton, U.K.,
May 2019.

Y. Kaneko, S. Muramatsu, H. Yasuda, K. Hayasaka, Y. Otake, S. Ono, and M. Yukawa,
``Convolutionalsparsecoded dynamic mode decomposition
and its application to river state estimation,"
in Proceedings of 44th IEEE ICASSP, pp.18721876,
Brighton, U.K.,
May 2019.

Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama,
``Continuoustime Value Function Approximation in Reproducing Kernel
Hilbert Spaces”,
Advances in
Neural Information Processing Systems (NIPS 2018), Montreal, Canada,
December 2018.
 Masahiro Yukawa and Isao Yamada,
``A FixedPoint Analysis of Regularized Dual Averaging Under Static
Scenarios",
in Proceedings of APSIPA Annual Summit and Conference,
Special Session:
Recent Advances in Online Learning, Stochastic Optimization, and Adaptive Signal Processing, pp.207211,
Honolulu: USA, November 2018.
 Yuto Ogino and Masahiro Yukawa,
``Spectral Clustering with Automatic ClusterNumber Identification
via Finding Sparse Eigenvectors,” in Proceedings of EUSIPCO (European Signal Processing Conference),
pp.11971201,
Rome: Italy, September 2018.
 Daniyal Amir Awan, Renato L.G. Cavalcante, Masahiro Yukawa, and
Slawomir Stanczak, ``Detection for 5GNOMA: An Online Adaptive
Machine Learning Approach,"
in Proceedings of IEEE International Conference on Communications (ICC),
Kansas City, MO, USA, May 2018
(arXiv).

Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada,
``Automatic shrinkage tuning robust to input correlation for
sparsityaware adaptive filtering,"
in Proceedings of 43rd IEEE ICASSP, pp.43144318,
Calgary: Canada,
April 2018.
 Masahiro Yukawa, Klaus R. Müller, and Yuto Ogino,
``How Are the Centered Kernel Principal Components Relevant to Regression Task?,"
in Proceedings of 43rd IEEE ICASSP, pp.28412845,
Calgary: Canada,
April 2018.

BanSok Shin, Masahiro Yukawa, Renato L.G. Cavalcante, and Armin Dekorsy,
``A hybrid dictionary approach for distributed kernel adaptive
filtering in diffusion networks,"
in Proceedings of 43rd IEEE ICASSP, pp.34143418,
Calgary: Canada,
April 2018.

Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa,
``Joint separation and dereverberation of reverberant mixtures with
determined multichannel nonnegative matrix factorization,"
in Proceedings of 43rd IEEE ICASSP, pp.3135,
Calgary: Canada,
April 2018.
 Motoya Ohnishi and Masahiro Yukawa,
``Online Learning in L2 Space with Multiple
Gaussian Kernels,"
in Proceedings of EUSIPCO, Kos: Greece, pp. 16441648,
AugustSeptember 2017.
 B.S. Shin, H. Paul, M. Yukawa, and A. Dekorsy,
``Distributed Nonlinear Regression Using InNetwork
Processing With Multiple Gaussian Kernels,"
in Proceedings of
IEEE International Workshop on Signal Processing Advances in Wireless Communications
(SPAWC), pp.4145, Sapporo: Japan, July 2017.

Masao Yamagishi, Yukawa Masahiro, and Isao Yamada,
``Automatic shrinkage tuning based on a systemmismatch estimate for sparsityaware adaptive filtering,"
in Proceedings of 42nd IEEE ICASSP, pp.48004804,
New Orleans: USA,
March 2017.

Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa,
`` A majorizationminimization algorithm with projected gradient updates for timedomain spectrogram factorization,"
in Proceedings of 42nd IEEE ICASSP, pp.561565,
New Orleans: USA,
March 2017.

Hirokazu Kameoka, Hideaki Kagami, and Masahiro Yukawa,
``Complex NMF with the generalized KullbackLeibler divergence,"
in Proceedings of 42nd IEEE ICASSP, pp.5660,
New Orleans: USA,
March 2017.

Asahi Ushio and Masahiro Yukawa,
``Projectionbased dual averaging for stochastic sparse optimization,"
in Proceedings of 42nd IEEE ICASSP, pp.23072311,
New Orleans: USA,
March 2017.
 Airi Takeuchi, Masahiro Yukawa, and Klaus R. Müller,
``A Better Metric in Kernel Adaptive Filtering,"
in Proceedings of EUSIPCO, Budapest: Hungary, pp. 15781582,
AugustSeptember 2016.

Hideaki Kagami and Masahiro Yukawa,
``Supervised Nonnegative Matrix Factorization
with DualItakuraSaito and KullbackLeibler
Divergences for Music Transcription,"
in Proceedings of EUSIPCO, Budapest: Hungary, pp. 11381142,
AugustSeptember 2016.

Yu Morikawa, Masahiro Yukawa, and Hisakazu Kikuchi,
``Supervised Nonnegative Matrix Factorization Using ActivePeriodAware Structured L1Norm for Music Transcription,"
in Proceedings of APSIPA Annual Summit and Conference, pp.1418,
December 2015. [Award Winning]

Masahiro Yukawa,
``Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces,"
in Proceedings of 40th IEEE ICASSP, pp.33623366,
Brisbane: Australia,
April 2015.

Osamu Toda and Masahiro Yukawa,
``An efficient kernel normalized least mean square algorithm with compactly supported kernel,"
in Proceedings of 40th IEEE ICASSP, pp.33673371,
Brisbane: Australia,
April 2015.

Masaaki Takizawa, Masahiro Yukawa, and Cedric Richard,
``A stochastic behavior analysis of stochastic restrictedgradient descent algorithm in reproducing kernel Hilbert spaces,"
in Proceedings of 40th IEEE ICASSP, pp.20012005,
Brisbane: Australia,
April 2015.
[arXiv]

Osamu Toda and Masahiro Yukawa,
``On Kernel Design for Online Model Selection by Gaussian Multikernel Adaptive Filtering,”
in Proceedings of APSIPAASC, Siem Reap: Cambodia, December 2014.

Masaaki Takizawa and Masahiro Yukawa,
``An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space,"
in Proceedings of 39th IEEE ICASSP, pp.45414545,
Florence: Italy, May 2014.

Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Shrinkage tuning based on an unbiased MSE estimate for sparsityaware adaptive filtering,"
in Proceedings of 39th IEEE ICASSP, pp.55145518,
Florence: Italy, May 2014.

Masahiro Yukawa and Yuki Saito,
``Widely Linear LQCMV Beamformer and Augmented DualDomain Adaptive Algorithm,"
in Proceedings of International Conference on Information, Communications and Signal Processing (ICICS), pp.15, Tainan: Taiwan, December 2013 (INVITED paper).
 Osamu Toda and Masahiro Yukawa,
``A reconsideration of improved PNLMS algorithm from metric combining viewpoint,"
in Proceedings of Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove: CA, pp.19511955, November 2013.

Masahiro Yukawa and Ryuichiro Ishii,
``On adaptivity of online model selection method based on multikernel adaptive filtering,"
in Proceedings of APSIPAASC, Kaohsiung: Taiwan, pp.16, October 2013.

Masahiro Yukawa and Ryuichiro Ishii,
``Online model selection and learning by multikernel adaptive filtering,"
in Proceedings of 21st EUSIPCO, Marrakech: Morocco, pp.15,
September 2013.

Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, and Isao Yamada,
``A sparsitybased design of regularization parameter for
adaptive proximal forwardbackward splitting algorithm,"
in Proceedings of International Symposium on Wireless Communication Systems
(ISWCS), Ilmenau: Germany, pp.190193, August 2013.

Masaaki Takizawa and Masahiro Yukawa,
``An efficient datareusing kernel adaptive filtering algorithm based on parallel hyperslab projection along affine subspaces,"
in Proceedings of 38th IEEE ICASSP, pp.35573561,
Vancouver: Canada, May 2013.

Yu Morikawa and Masahiro Yukawa,
``'A sparse optimization approach to supervised NMF based on convex analytic method,"
in Proceedings of 38th IEEE ICASSP, pp.60786082,
Vancouver: Canada, May 2013.
 Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Masahiro Yukawa,
Shogo Muramatsu, and Jaeho Shin,
``Colortone similarity on digital images",
in Proceedings of APSIPAASC, Hollywood: CA, December 2012.
 Shogo Muramatsu, Natsuki Aizawa, and Masahiro Yukawa,
``Image restoration with union of directional orthonormal DWTs",
in Proceedings of APSIPAASC, Hollywood: CA, December 2012.
 Masahiro Yukawa and Ryuichiro Ishii,
``An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace",
in Proceedings of
EUSIPCO, pp.21832187, Bucharest: Romania, August 2012.
 Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang,
Shogo Muramatsu, Masahiro Yukawa, and Jaeho Shin,
``A study on picturecolor similarity on digital images,"
in Proceedings of International Technical Conference on Circuits/Systems,
Computers and Communications (ITCCSCC 2012), Sapporo: Japan, July 2012.

Masahiro Yukawa and Shunichi Amari,
``Lpconstrained least squares (0<p<1) and its critical path",
in Proceedings of IEEE International Symposium on Information Theory (ISIT), pp.22312235,
Cambridge, MA: USA, July 2012.

You Nakajima and Masahiro Yukawa,
``Nonlinear channel equalization by multikernel adaptive filter",
in Proceedings of
IEEE International Workshop on Signal Processing Advances in Wireless Communications
(SPAWC) , Cesme: Turkey, June 2012.
 Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, and Isao Yamada,
``Sparsityaware adaptive filters based on
Lpnorm inspired softthresholding technique",
in Proceedings of
IEEE International Symposium on Circuits and Systems
(ISCAS),
:
Special Session on Adaptive Filtering and Their Applications,
pp.27492752, Seoul: Korea, May 2012 (INVITED paper).
 Masahiro Yukawa,
``Rankselection criterion for Krylovsubspacebased adaptive filtering techniques",
in Proceedings of
International Conference on Information, Communications and Signal Processing (ICICS)
:
Special Session on Adaptive Filtering and Their Applications,
Singapore, December 2011 (INVITED paper).

Gilwon Lee, J. Park, Youngchul Sung, and Masahiro Yukawa,
``Coordinated beamforming with relaxed zero forcing",
in Proceedings of
International Conference on Wireless Communications & Signal Processing
(WCSP):
Invited Session on Interference Management Techniques in Wireless Networks,
Nanjing: China, November 2011 (INVITED paper).

Masahiro Yukawa and Shunichi Amari,
``On extensions of LARS by information geometry : convex objectives and lpnorm",
in Proceedings of
Asia Pacific Signal and Information Processing Association
Annual Summit and Conference (APSIPA ASC 2011):
Special Session on Recent Advances in Adaptive/Sparse Signal Processing,
Xi'an: China, October 2011.

Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi,
``A hybrid approach for sparse adaptive filters under highly colored inputs",
in Proceedings of
Asia Pacific Signal and Information Processing Association
Annual Summit and Conference (APSIPA ASC 2011),
Xi'an: China, October 2011.

Di Liu, Rajan S. Rashobh, Andy W. H. Khong, and Masahiro Yukawa,
``A subspacebased adaptive approach for multichannel equalization of room acoustics",
in Proceedings of
Asia Pacific Signal and Information Processing Association
Annual Summit and Conference (APSIPA ASC 2011):
Special Session on Recent Advances in Adaptive/Sparse Signal Processing,
Xi'an: China, October 2011.

Masahiro Yukawa and Isao Yamada,
``Adaptive beamforming by simultaneous projection
in dual domains,"
in Proceedings of
The 7th International Workshop on Multidimensional (nD) Systems,
Special Session: Multidimensional systems and signal processing research in Asia,
Mo2.3, Poitiers: France, September 2011, (INVITED paper).

Masahiro Yukawa and Isao Yamada,
``A deterministic analysis of linearly constrained adaptive filtering algorithms,"
in Proceedings of
European Signal Processing Conference (EUSIPCO),
pp.131135, Barcelona: Spain, September 2011.

Masahiro Yukawa,
``Nonlinear adaptive filtering techniques with multiple kernels,"
in Proceedings of
European Signal Processing Conference (EUSIPCO),
pp.136140, Barcelona: Spain, September 2011.

Masahiro Yukawa and Isao Yamada,
``Dualdomain adaptive beamforming based on directionofarrival information,"
in Proceedings of
IEEE Workshop on Statistical Signal Processing, pp.141144,
Nice: France, June 2011.

Masahiro Yukawa, Youngchul Sung, and Gilwon Lee,
``Adaptive interference suppression in MIMO multiple access channels
based on dualdomain approach,"
in Proceedings of
International Technical Conference on Circuits/Systems,
Computers and Communications (ITCCSCC 2011):
Special Session on Advanced Communication and Signal Processing
in Multiuser Communications under Interference Environment, pp.4649,
Gyeongju: Korea, June 2011.

Muyesaier Mulaaihemaiti,
Shun Munekata,
Junghyeun Hwang,
Hisakazu Kikuchi,
Shogo Muramatsu,
Masahiro Yukawa,
Heikki Huttunen, and
Jaeho Shin,
``A reproduction model of film grain texture for digital movies,"
in Proceedings of
International Technical Conference on Circuits/Systems, Computers and Communications (ITCCSCC 2011), pp.819822,
Gyeongju: Korea, June 2011.

Peter Ndajah, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa and Francis Benyah,
``A total variationmorphological image edge detection approach,"
in Proceedings of 10th WSEAS Int. Conf. on Signal Processing, 6 pages, Canary Islands, Spain, May, 2011.

Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Acceleration of adaptive proximal forwardbackward splitting method and its application to sparse system identification,"
in Proceedings of
36th IEEE ICASSP, pp.42964299,
Prague: Czech, May 2011.
 Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Sparse system identification by exponentially weighted adaptive parallel
projection and generalized softthresholding,''
in Proceedings of Asia Pacific Signal and Information Processing Association
Annual Summit and Conference (APSIPA ASC 2010),
pp.367370, Biopolis: Singapore, December 2010 (INVITED paper).

Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, and Shogo Muramatsu,
``SSIM image quality metric for denoised images,"
in Proceedings of 3rd WSEAS International Conference on Visualization,
Imaging and Simulation (VIS'10),
pp.5358, University of Algarve, Faro: Portugal, November 2010.
 Masahiro Yukawa and Isao Yamada,
``Two productspace formulations for unifying multiple metrics in settheoretic adaptive filtering,''
in Proceedings of 44th Asilomar Conference on Signals, Systems, and
Computers, pp.10101014, Pacific Grove: CA, November 2010.
 Masahiro Yukawa and Isao Yamada,
``Minimal antennasubset selection under capacity constraint
for powerefficient MIMO systems: A relaxed \ell_1 minimization approach,"
in Proceedings of
35th IEEE ICASSP, pp.30583061,
Dallas: Texas U.S.A., March 2010.
 Masahiro Yukawa and Isao Yamada,
``A deterministic analysis of variablemetric adaptive filtering algorithms under small metricfluctuations,"
in Proceedings of
35th IEEE ICASSP, pp.37303733,
Dallas: Texas U.S.A., March 2010.
 Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa,
and Isao Yamada,
``A sparse adaptive filtering using timevarying softthresholding techniques,"
in Proceedings of
35th IEEE ICASSP, pp.37343737,
Dallas: Texas U.S.A., March 2010.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
``Multidomain adaptive filtering by feasibility splitting,"
in Proceedings of
35th IEEE ICASSP, pp.38143817,
Dallas: Texas U.S.A., March 2010.
 Isao Yamada and Masahiro Yukawa, ``Minimizing the Moreau envelope of nonsmooth convex function
over the fixed point set of certain quasinonexpansive mappings,'
in Proceedings of
Interdisciplinary Workshop on FixedPoint Algorithms for Inverse Problems in Science and Engineering
,
Banff: Canada, November 2009 (INVITED paper).
 Masahiro Yukawa and Isao Yamada,
``An efficient parallel variablemetric projection algorithm
based on settheoretic and krylovproportionate adaptive filtering
techniques,''
in Proceedings of
Asia Pacific Signal and Information Processing Association
Annual Summit and Conference
(APSIPA ASC 2009),
pp.418421, Sapporo: Japan, October 2009.
 Masahiro Yukawa, Konstantinos Slavakis, and
Isao Yamada,
``Signal processing in dual domain by adaptive projected subgradient method,''
in Proceedings of
16th IEEE International Conference on Digital Signal Processing,
pp.16,
Santorini: Greece, July 2009.
 Masahiro Yukawa and Wolfgang Utschick,
``Proportionate adaptive algorithm for nonsparse systems
based on Krylov subspace and constrained optimization,"
in Proceedings of
34th IEEE ICASSP, pp.31213124,
Taipei: Taiwan, April 2009.
 Masahiro Yukawa,
``DS/CDMA linear receiver based on Krylovproportionate adaptive filtering technique
An extension to complexvalued signals,"
in Proceedings of
IEEE International Workshop on
Machine Learning for Signal Processing,
pp.169174, Cancun: Mexico, October 2008.
 Masahiro Yukawa,
``On whitening for Krylovproportionate normalized
leastmeansquare algorithm,"
in Proceedings of
IEEE International Workshop on Machine Learning for Signal Processing,
pp.315320, Cancun: Mexico, October 2008.
 Masahiro Yukawa,
``Krylovproportionate NLMS algorithm based on multistage Wiener filter representation,''
in Proceedings of
33rd IEEE ICASSP, pp.38013804, Las Vegas: NV, MarchApril 2008.
 Masahiro Yukawa, Rodrigo C. de Lamare, and Isao Yamada,
``Settheoretic reducedrank adaptive filtering by adaptive projected
subgradient method,'' in Proceedings of 41st Asilomar Conference on Signals, Systems, and
Computers, pp.422426, Pacific Grove: CA, November 2007.
 Masahiro Yukawa, Gen Hori, Ken Umeno, and Isao Yamada,
``Fast adaptive DS/CDMA interference suppression method based on
quadraticmetric projection''
in Proceedings of
15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems,
pp.129132, Tokushima: Japan, July 2007.
 Gen Hori, Ken Umeno, Masahiro Yukawa, Ryo Takahashi, and Tomasz Piotrowski,
``Improvement of CDMA system using signal separation by independent
component analysis''
in Proceedings of
15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems,
pp.277280, Tokushima: Japan, July 2007.
 Masahiro Yukawa, Rodrigo C. de Lamare, and Raimundo SampaioNeto,
``Acoustic echo cancellation with reducedrank adaptive
interpolated filter based on parallelbranch diversity decimation,''
in Proceedings of
15th IEEE International Conference on Digital Signal Processing,
pp.3942, Cardiff: UK, July 2007.
 Masahiro Yukawa and Isao Yamada,
``Adaptive parallel variablemetric projection
algorithm An application to acoustic echo cancellation,"
in Proceedings of
32nd IEEE ICASSP,
pp.13531356,
Hawaii: USA, Apr. 2007.
 Masahiro Yukawa and Isao Yamada,
``Adaptive quadraticmetric parallel subgradient projection
algorithm and its application to acoustic echo cancellation,"
in Proceedings of 14th EUSIPCO,
Florence: Italy, Sept. 2006.
 Isao Yamada, Konstantinos Slavakis, Masahiro Yukawa, and Renato L. G. Cavalcante,
``Adaptive projected subgradient method and its applications to robust
signal processing,"
in Proceedings of IEEE ISCAS
(International Symposium on Circuits and Systems),
pp.269272, Island of Kos: Greece, May 2006, (INVITED paper).
 Masahiro Yukawa and Isao Yamada,
``Adaptive beamforming by constrained parallel projection in the presence
of spatiallycorrelated interferences,"
in Proceedings of
31st IEEE ICASSP, pp.10091012, Toulouse: France, May 2006.
 Konstantinos Slavakis, Masahiro Yukawa, and Isao Yamada,
``Robust Capon beamforming by the adaptive projected subgradient method,"
in Proceedings of
31st IEEE ICASSP, pp.10051008, Toulouse: France, May 2006.
 Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada,
``An efficient heuristic approach to infeasible downlink power control problem,"
in Proceedings of 31st IEEE ICASSP, pp.765768, Toulouse: France, May 2006.
 Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada,
``Settheoretic DS/CDMA receivers
for fading channels by adaptive projected subgradient method,"
in Proceedings of
IEEE GLOBECOM (Global Telecommunications Conference), pp.22702275,
St. Louis: MO, Nov.Dec. 2005.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
``Stereo echo canceler by Adaptive Projected Subgradient Method with
multiple roomacoustics information,"
in Proceedings of
2005 IWAENC (International Workshop on Acoustic Echo and Noise
Control), S0315, pp.185188, Eindhoven: Netherlands, Sept. 2005.
 Masahiro Yukawa, Noriaki Murakoshi, and Isao Yamada,
``An efficient fast stereo echo canceler
by pairwise optimal weight realization technique,"
in Proceedings of
13th EUSIPCO (European Signal Processing Conference),
ThuAmPO2 (Topics in Audio Processing), Antalya: Turkey, Sept. 2005.
 Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada,
``Efficient adaptive blind MAI suppression in DS/CDMA by embedded
constraint parallel projection techniques,"
in Proceedings of
30th IEEE ICASSP (International Conference on Acoustic, Speech and Signal Processing),
pp.929932, Philadelphia: PA, Mar. 2005.
 Konstantinos Slavakis, Isao Yamada, Nobuhiko Ogura, and Masahiro Yukawa,
``Adaptive projected subgradient method and set theoretic adaptive
filtering with multiple convex constraints,"
in Proceedings of 38th Annual Asilomar Conference on Signals, Systems, and
Computers,
pp.960964, Nov. 2004.
 Masahiro Yukawa and Isao Yamada,
``Acceleration of adaptive parallel projection algorithms
by pairwise optimal weight realization,"
in Proceedings of
12th EUSIPCO (European Signal Processing Conference),
pp.713716, Vienna: Austria, Sept. 2004.
 Isao Yamada, Nobuhiko Ogura, and Masahiro Yukawa,
``Adaptive projected subgradient method and its acceleration techniques,"
in Proceedings of IFAC (International Federation of Automatic Control)
Workshop on ALCOSP (Adaptation and Learning in Control and Signal
Processing), TP4_A1, pp.639644, Yokohama: Japan, Aug. 2004 (INVITED paper).
 Masahiro Yukawa and Isao Yamada,
``Adaptive parallel subgradient projection techniques
with input sliding technique for stereophonic acoustic echo
cancellation,"
in Proceedings of
IWAENC (International Workshop on Acoustic Echo and Noise
Control),
pp.5558, Kyoto: Japan, Sept. 2003.
 Isao Yamada and Masahiro Yukawa,
``An efficient robust stereophonic acoustic echo canceler based on parallel subgradient projection techniques,"
in Proceedings of
6th ICSP (International Conference on Signal Processing),
E8, Beijing: China, Aug. 2002.
Theses

Masahiro Yukawa, ``A study of acceleration of adaptive filtering algorithm
with application to stereo echo canceler", Master thesis, Tokyo Institute of Technology, Mar. 2004.

Masahiro Yukawa, ``A study of efficient adaptive filtering algorithms and their applications to acoustic and communication systems", Ph.D. thesis, Tokyo Institute of Technology, Sept. 2006.
[PDF]
Miscellaneous
 Hiroyuki Kaneko and Masahiro Yukawa,
``Normalized LeastMeanSquare Algorithms Using
Minimax Concave Penalty Function,"
in Proceedings of IEICE SIP Symposium,
pp.4449, Zoom (fully virtual), Nov. 2021.
 Kyohei Suzuki and Masahiro Yukawa,
``Sparse Stable OutlierRobust Regression Using Minimax Concave Function,"
in Proceedings of IEICE SIP Symposium,
pp.96101, Zoom (fully virtual), Nov. 2021.
 Kei komuro, Masahiro Yukawa, and Renato L.G. Cavalcante,
``Distributed Sparse Optimization: Towards Global
Optimality Using Weakly Convex Regularizers,"
in Proceedings of IEICE SIP Symposium,
pp.197202, zoom (fully virtual) , Nov. 2021.
 Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, and Antonio Ortega,
``An Efficient Approach Enhancing Interpretability in Graph Learning Based on
Minimax Concave Penalty under Gaussian Markov Random Fields,"
in Proceedings of IEICE SIP Symposium,
pp.203208, Zoom (fully virtual), Nov. 2021.

Masaaki Takizawa and Masahiro Yukawa, An Efficient Online Learning Method Based on Selftuned Gaussian
Kernels, Technical Report of IEICE, vol.118, no.496,
IEICESIP2018123, pp.105111, Iojima island, March 2019.

Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski, ``Beamforming for
BrainActivity Reconstruction under TimeCorrelated
Interference,"
Technical Report of IEICE, vol.118, no.496,
IEICESIP2018123, pp.99104, Ioh island, March 2019.

岩本蘭、湯川正裕、Autoantonymの多カーネルオンライン意味変化分析,
言語処理学会第25回年次大会 (NLP2019), 名古屋大学、2019年3月.
 Ran Iwamoto and Masahiro Yukawa,
``Sentiment Analysis in Twitter Based on Multikernel Adaptive Filtering,"
in Proceedings of IEICE SIP Symposium,
pp.392397, Tokyo, Nov. 2018.
 Yuto Ogino and Masahiro Yukawa,
``Clustering without Prespecifying ClusterNumber Based on Sparse Eigenproblem of Graph Laplacian,"
in Proceedings of IEICE SIP Symposium,
pp.386391, Tokyo, Nov. 2018.
 村松正吾, 安田浩保, 早坂圭司, 大竹雄, 小野峻佑, 湯川正裕,
``畳込みスパース符号化を利用した拡張動的モード分解,"
第33回 信号処理シンポジウム,
pp.164169, 東京電機大学, 2018年11月.

M.Yukawa and K.R. Müller, ``On Contributions of Principal Eigenfunctions of
Covariance Operator of Kernel Feature Vectors to Relevant Information in
Nonlinear Regression,"
Technical Report of IEICE,
vol.117, no.98, SIP201740, pp.8185, June 2017.
 Masahiro Yukawa,
``多カーネル適応フィルタの基礎と最近の展開,"
Technical Report of IEICE,
vol.116, no.477, SP2016108, pp.177182,
Naha, March 2017 (INVITED TALK).
 Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada,
``A Simple SelfTuning Technique for Adaptive Proximal ForwardBackward Splitting Method,"
Technical Report of IEICE, SIP, vol., no., pp.,
Naha, March 2017.
 鏡英章, 亀岡弘和, 湯川正裕,
``I ダイバージェンス規準複素NMF,"
日本音響学会講演論文集, pp.433436,
2016年9月.
 Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa,
``An efficient implementation of timedomain spectrogram factorization using projected gradient iterates,"
in Proceedings of IEICE SIP Symposium,
pp., Osaka, Nov. 2016.
 Masao Yamagishi, Masahiro Yukawa, and Isao Yamada
``Shrinkage tuning based on a systemmismatch estimation for the sparsityaware adaptive proximal forwardbackward splitting,''
in Proceedings of IEICE Signal Processing Symposium, pp.439443, Iwaki,
Nov. 2015.
 Asahi Ushio and Masahiro Yukawa
``Multitask Learning with Operatorvalued Reproducing Kernels,''
in Proceedings of IEICE Signal Processing Symposium, pp.312315, Iwaki,
Nov. 2015.

Hideaki Kagami and Masahiro Yukawa,
``Supervised Nonnegative Matrix Factorization with ItakuraSaito
Divergence for Music Transcription,''
in Proceedings of IEICE Signal Processing Symposium, pp.274278, Iwaki,
Nov. 2015.
 Keiji Furuya, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada,
``RIP conditions for exact recovery of groupsparse vectors under two sets of nonoverlapping groups,"
Technical Report of IEICE, SIP2014127, vol.114, no.474, pp.7578,
Ishigaki, March 2015.

Masaaki Takizawa, Masahiro Yukawa, and Cedric Richard, ``Performance
analysis of the stochastic restricted gradient descent algorithm in
RKHS," in Proceedings of IEICE SIP Symposium, pp.259264, Kyoto, Nov. 2014.

Osamu Toda and Masahiro Yukawa,
``Online learning with compactly supported kernel,”
in Proceedings of IEICE SIP Symposium, pp.7377, Kyoto, Nov. 2014.
 Seiji Inoue, Masahiro Yukawa, and Hisakazu Kikuchi,
``Nonlinear acoustic echo cancellation based on multikernel adaptive filter with linear and Gaussian kernels,"
in Proceedings of IEICE Spring Conference of IEICE, p.83,
Niigata, Mar. 2014 (in Japanese).
 Masahiro Yukawa,
``Cartesian Multikernel Adaptive Filtering,"
Technical Report of IEICE, SIP2013104, vol.113, no.385, pp.113116,
Fukuoka, January 2014.
 Jeong Kwangjin, Masahiro Yukawa, and Shunichi Amari,
``On Relation Between Lpregularization (0<p<1) and Sparsest Least Squares Solution,"
in Proceedings of Symposium on Information Theory and Its Applications (SITA),
pp.196199, Ito, November. 2013.
 Masahiro Yukawa,
``Multikernel Adaptive Filtering as SubspaceParameter Joint Estimation in Sum Space,"
in Proceedings of IEICE SIP Symposium,
pp.394399, Shimonoseki, Nov. 2013.
 Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Shrinkage tuning based on an unbiased MSE estimate for the sparsityaware adaptive proximal forwardbackward splitting,"
in Proceedings of IEICE SIP Symposium,
pp.369372, Shimonoseki, Nov. 2013.
 Osamu Toda and Masahiro Yukawa,
``Adaptive Generalized ForwardBackward Splitting Method for Multikernel Adaptive Filtering,"
in Proceedings of IEICE SIP Symposium,
pp.359362, Shimonoseki, Nov. 2013.
 Yu Morikawa, Masahiro Yukawa, and Hisakazu Kikuchi,
``Supervised NMF using Structured L1 Norm with Overlapping Groups,"
in Proceedings of IEICE SIP Symposium,
pp.166171, Shimonoseki, Nov. 2013.
 Masaaki Takizawa and Masahiro Yukawa,
``A Note on Kernel Adaptive Filtering Algorithms : RKHS Projection or Parameterspace Projection?,"
in Proceedings of IEICE SIP Symposium,
pp.3338, Shimonoseki, Nov. 2013.
 Kei Takahashi, Masahiro Yukawa, and Hisakazu Kikuchi,
``A fast KPNLMS algorithm for Toeplitz autocorrelation matrices,"
IEICE Shinetsu Section Conference, 2A1, p.19,
Nagaoka, October 2013 (in Japanese).
 Ryuichiro Ishii, Masahiro Yukawa, and Shigenobu Sasaki,
``On tracking input range variations in multikernel adaptive filtering,"
Technical Report of IEICE, SIP201370, vol.113, no.191, pp.2326,
Tokyo, August 2013 (in Japanese).
 Yu Morikawa and Masahiro Yukawa,
``Supervised NMF as a sparse optimization problem,"
Technical Report of IEICE, SIP2012107, vol.112, no.425, pp.105109,
Tsuruoka, March 2013.
 Masahiro Yukawa and Ryuichiro Ishii,
``Multikernel adaptive filtering with double regularization,"
Technical Report of IEICE, SIP2012105, vol.112, no.423, pp.143146,
Kure, January 2013.
 Masaaki Takizawa and Masahiro Yukawa,
``A DataReusing Kernel Adaptive Filter Based on Parallel Hyperplane Projection Along Subspace,"
in Proceedings of IEICE SIP Symposium,
pp.506510, Ishigaki, Nov. 2012.
 Kwangjin Jeong, Masahiro Yukawa, and Shunichi Amari,
``On Critical Paths of lpconstrained Underdetermined Least Squares Problem (0<p<1),"
in Proceedings of IEICE SIP Symposium,
pp.581585, Ishigaki, Nov. 2012.
 Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi,
``A VariableMetric NLMS Algorithm for Sparse Systems and Colored Inputs,"
in Proceedings of IEICE SIP Symposium,
pp.527530, Ishigaki, Nov. 2012.
 Yuta Tawara, Osamu Toda, Masahiro Yukawa, and Isao Yamada,
``Sparse system identification by adaptive proximal forwardbackward splitting algorithm: approximated Lpregularizer and variable regularization parameter,"
in Proceedings of IEICE SIP Symposium,
pp.614617, Ishigaki, Nov. 2012.
 Satoshi Kataoka, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa, and Heikki Huttunen,
``A study on color similarity between digital images,"
in Proceedings of IEICE SIP Symposium,
pp.711, Ishigaki, Nov. 2012. (in Japanese)
 Masahiro Yukawa and Ryuichiro Ishii, ”A kernel adaptive filtering algorithm based on projection in RKHS,”
in Proceedings of IEICE Society Conference, A46, p.61, Toyama, Sept. 2012.
 Natsuki Aizawa, Shogo Muramatsu, Masahiro Yukawa,
``ISTABased Image Restoration with Multiple DirLOTs,"
KWS 2012, Awajishima, August 2012 (in Japanese). [Award Winning]
 Shunichi Amari and Masahiro Yukawa,
``Information geometry of sparse signal processing,"
JSIAM2012, Wakkanai, AugustSeptember 2012 (in Japanese).
 Ryuichiro Ishii and Masahiro Yukawa,
``A note on multikernel adaptive learning based on RKHS projection,"
Technical Report of IEICE, SIP2011183, vol.111, no.465, pp.315320,
Niigata, March 2012 (in Japanese).
 Masahiro Yukawa and Shunichi Amari,
``Sparse Optimization Based on Lp Regularization,"
in Proceedings of Automatic Control Association Symposium:
Organized Session on Compressed Sensing and L1Norm Optimization,
pp.625630, Toyohashi, Nov. 2011.
 Masahiro Yukawa and Shunichi Amari,
``An Insight into Lp Penalized Least Squares Problems,"
in Proceedings of IEICE SIP Symposium, pp.556561, Sapporo, Nov. 2011.
 Masahiro Yukawa and You Nakajima,
``MultiKernel Adaptive Filtering for Nonstationary TimeSeries Data Prediction,"
in Proceedings of IEICE SIP Symposium, pp.608613, Sapporo, Nov. 2011.
 Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, and Isao Yamada,
``Sparse Adaptive Filters Based on SoftThresholding with LpNorm Inspired Weighting Techniques,"
in Proceedings of IEICE SIP Symposium, pp.659663, Sapporo, Nov. 2011.
 Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi,
``A Weight Controlling Technique for Hybrid Sparse Adaptive Filters,"
in Proceedings of IEICE SIP Symposium, pp.680683, Sapporo, Nov. 2011.
[Award Winning]
(4 other papers in the symposium)
 Osamu Toda and Masahiro Yukawa,
``How Is Gain of Hybrid Sparse Adaptive Filtering Algorithm Affected by Input Correlation?,"
Technical Report of IEICE, SIP201161, vol.111, no.104, pp.181186,
Naha, JuneJuly 2011.
 Masahiro Yukawa and Isao Yamada,
``On robustness of MIMO antenna selection scheme
by minimizing smoothed l1 norm under nonlinear constraints,"
The 55th Annual Conference of the Institute of Systems, Control and
Information Engineers (SCI'11), pp.345346, Osaka, May 2011.
 Masahiro Yukawa,
``Multikernel NLMS algorithm with coherence criterion and its application to
online prediction of time series data,"
Technical Report of IEICE, SIP201114, vol.111, no.27, pp.7982,
Osaka, May 2011.
 Masahiro Yukawa and Isao Yamada,
``Fast and efficient interference suppression by uniform linear array based on dualdomain adaptive filtering technique,"
Technical Report of IEICE, SIP2010139, vol.110, no.439, pp.127130,
Ishigaki, March 2011.
 You Nakajima and Masahiro Yukawa,
``A numerical study on online regression with multiple kernels,"
Technical Report of IEICE, SIP201091, vol.110, no.368, pp.133136,
Yakushima, January 2011.
 Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Acceleration of adaptive proximal forward backward splitting method for sparse system identification,"
in Proceedings of IEICE SIP Symposium, pp.3034, Nara, Nov. 2010.
 Masahiro Yukawa and Isao Yamada,
``A note on adaptive projected subgradient method under linear constraints,"
in Proceedings of IEICE SIP Symposium, pp.4146, Nara,
Nov. 2010.
 Masahiro Yukawa,
``On use of multiple kernels in adaptive learning Extended reproducing kernel Hilbert space with Cartesian product,"
in Proceedings of IEICE SIP Symposium, pp.5964, Nara, Nov. 2010.
 Masahiro Yukawa and Osamu Toda,
``Blending transformdomain and proportionate adaptive filtering algorithms for sparse linear system excited by colored input,"
in Proceedings of IEICE SIP Symposium, pp.267272, Nara, Nov. 2010.
 Shun Munekata, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa,
and Heikki Huttunen,
``A reproduction model of film grain textures and its application to digital cinama,"
in Proceedings of IEICE SIP Symposium, pp.378383, Nara, Nov. 2010 (in Japanese).
 Peter Ndajah, Masahiro Yukawa, Shogo Muramatsu, and Hisakazu Kikuchi,
``TV image denoising and noise response analysis,"
in Proceedings of IEICE SIP Symposium, pp.576580, Nara, Nov. 2010.
 Masahiro Yukawa and Isao Yamada,
``A treatment of multiple metrics in settheoretic adaptive
filtering based on productspace formulation,"
Technical Report of IEICE, SIP201049, vol.110, no.86, pp.157162,
Kitami, June 2010.
 Masahiro Yukawa,
``On use of multimetric projection in adaptive filtering,"
Technical Report of IEICE, SIP2009146, vol.109, no.435, pp.137140,
Miyako Island, Mar. 2010.
 Masahiro Yukawa and Isao Yamada,
``A new problem formulation of MIMO antenna selection: Iterative minimization
of the Moreau envelope of l1norm under nonlinear constraints,"
IEICE SIP Symposium, pp.373377, Kagoshima, Nov. 2009.
 Masahiro Yukawa and Isao Yamada,
``An analysis for a certain family of adaptive filtering algorithms based on
variablemetric adaptive projected subgradient method,"
IEICE SIP Symposium, pp.314319, Kagoshima, Nov. 2009.
 Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, and Isao Yamada,
``Using timevarying softthresholding techniques for adaptive identification of sparse systems,"
IEICE SIP Symposium, pp.2227, Kagoshima, Nov. 2009.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
``Multidomain adaptive learning,''
in Proceedings of IEICE Society Conference, A414, p.77, Niigata, Sept. 2009.
 Masahiro Yukawa,
``A natural rankselection criterion for Krylovsubspacebased filtering techniques,''
Technical Report of IEICE, SIP200939,
vol. 109, no. 112, pp.117120, July 2009.
 Masahiro Yukawa,
``An extension of proportionate NLMS algorithm
based on multistage Wiener filter representation,"
in Proceedings of IEICE SIP Symposium,
pp.526531, Sendai, November 2007.
 Masahiro Yukawa, Ken Umeno, and Gen Hori,
``Adaptive MMSE receiver aided by Lebesgue spectrum filter in asynchronous CDMA systems,"
in Proceedings of IEICE SIP Symposium, pp.506511, Sendai, November 2007.
 Masahiro Yukawa, Gen Hori, Ken Umeno, and Isao Yamada,
``A Bridge Between ReducedRank Adaptive Filtering and
QuadraticMetric Projection Techniques,'' Technical Report of IEICE, NLP200741,
vol.107, no.184, pp.2934, August 2007.
 Gen Hori, Ken Umeno, Masahiro Yukawa, Ryo Takahashi, and Tomasz J. Piotrowski,
``Carrier level simulation of chaos CDMA with received signal eparation,'' Technical Report of IEICE, NLP200740,
vol.107, no.184, pp.2528, August 2007.
 Ryo Takahashi, Masahiro Yukawa, Gen Hori, and Ken Umeno,
``Performance evaluation of complete orthogonal spreading sequences generated by ICA for
CDMA with RF modulation,''
Technical Report of IEICE, NLP200739, vol.107, no.184, pp.1924, August 2007.
 Masahiro Yukawa and Isao Yamada,
``An effective acoustic echo canceling algorithm by the Adaptive
Projected Subgradient Method with a special metric,"
Technical Report of IEICE, SIP2005156, vol. 105, no. 633, pp.8186,
March 2006.
 Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada,
``Blind and nonblind DS/CDMA receivers by Adaptive Projected Subgradient Method,"
in Proceedings of SITA,
36. CDMA (I), vol. II, pp.685688, Okinawa, Nov. 2005.
 Masahiro Yukawa and Isao Yamada,
``An embeddedconstraint adaptive beamformer in the presence of
spatiallycorrelated interferences Convergence speed of constrained and projected NLMS algorithms,"
in Proceedings of IEICE SIP Symposium, B32, Kouchi,
Nov. 2005.
 Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada,
``An efficient heuristic adaptive power control for downlink transmission
in infeasible scenarios,"
in Proceedings of IEICE SIP Symposium, A22, Kouchi,
Nov. 2005.
 Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada,
``Stereo echo canceler by Adaptive Projected Subgradient Method with
multiple a priori information,"
in Proceedings of IEICE Society Conference, A410, p. 79, Sapporo, Hokkaido,
Sept. 2005.
 Konstantinos Slavakis, Masahiro Yukawa, and Isao Yamada,
``Efficient robust adaptive beamforming by the Adaptive Projected
Subgradient Method A settheoretic timevarying approach over
multiple a priori constraints,"
Technical Report of IEICE, SIP200552, vol. 105, no. 174, pp.1318,
July 2005.
 Masahiro Yukawa and Isao Yamada,
``On optimality of POWER weighting technique for adaptive filtering,"
Technical Report of IEICE, SIP20057, vol. 105, no. 29, pp.3742,
Apr. 2005.
 Masahiro Yukawa and Isao Yamada,
``A note on inflation parameter for adaptive parallel
subgradient projection algorithms An optimal design in case of single projection,"
Technical Report of IEICE, SIP2004104, vol. 104, no. 558, Jan. 2005.
 Masahiro Yukawa and Isao Yamada,
``Acceleration technique for adaptive parallel subgradient projection algorithm and its properties,"
in Proceedings of IEICE SIP Symposium, B11, Yatsugatake,
Nov. 2004.
 Noriaki Murakoshi, Masahiro Yukawa, and Isao Yamada,
``An efficient fast stereophonic acoustic echo canceler by pairwise optimal weight realization technique,"
in Proceedings of IEICE SIP Symposium, B23, Yatsugatake,
Nov. 2004.
 Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada,
``Efficient blind DS/CDMA receivers by embedded constraint adaptive parallel projection techniques,"
in Proceedings of IEICE SIP Symposium, C33, Yatsugatake,
Nov. 2004.
 Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada,
``An efficient receiver for multipath BPSKDS/CDMA systems by adaptive projected subgradient method,"
in Proceedings of IEICE SIP (Signal Processing) Symposium, B51, Yatsugatake,
Nov. 2004.
 Masahiro Yukawa and Isao Yamada,
``An efficient speedup weighting technique
for adaptive parallel projection algorithm,"
in Proceedings of IEICE Spring Conference of IEICE,
Tokyo, Mar. 2004.
 Masahiro Yukawa and Isao Yamada,
``Efficient fast adaptive stereo echo canceling schemes
based on simultaneous use of multiple state data,"
in Proceedings of IEICE DSP Symposium, B35, IseShima, Nov. 2003.
 Masahiro Yukawa and Isao Yamada
``Twostage adaptive parallel subgradient projection techniques
for multichannel acoustic echo cancellation,"
IEICE Technical Meeting, Tokyo University of Agriculture and Technology, Dec. 2002.
 Masahiro Yukawa and Isao Yamada
``Robust 2stage adaptive parallel subgradient projection techniques
for multichannel acoustic echo cancellation,"
in Proceedings of Symposium on Information Theory and Its Applications (SITA),
vol. I, pp.271274, Ikaho, Dec. 2002.
 Masahiro Yukawa and Isao Yamada
``An efficient robust adaptive multichannel acoustic echo
canceler based on 2stage parallel subgradient projection techniques,"
in Proceedings of IEICE DSP (Digital Signal Processing) Symposium, C12,
Hakodate, Nov. 2002.
