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2020 – today
- 2023
[j40]Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega:
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(1): 23-34 (2023)- [j39]Kyohei Suzuki
, Masahiro Yukawa:
Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise. IEEE Trans. Signal Process. 71: 372-387 (2023) - [j38]Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada:
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression. IEEE Trans. Signal Process. 71: 1232-1247 (2023) - [j37]Daniyal Amir Awan, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach. IEEE Trans. Signal Process. 71: 2103-2117 (2023) - [c80]Takumi Ichinose, Masahiro Yukawa, Renato L. G. Cavalcante:
Online Kernel-Based Quantile Regression Using Huberized Pinball Loss. EUSIPCO 2023: 1803-1807 - [c79]Maximilian H. V. Tillmann, Masahiro Yukawa:
Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss. MLSP 2023: 1-6 - [i11]Navneet Agrawal, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. CoRR abs/2307.04913 (2023) - 2022
- [j36]Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski:
Relaxed zero-forcing beamformer under temporally-correlated interference. Signal Process. 190: 108323 (2022) - [j35]Kei Komuro, Masahiro Yukawa, Renato Luís Garrido Cavalcante:
Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality. IEEE Trans. Signal Inf. Process. over Networks 8: 514-527 (2022) - [c78]Tatsuya Koyakumaru, Masahiro Yukawa:
Efficient Robust Graph Learning Based on Minimax Concave Penalty and $\gamma$-Cross Entropy. EUSIPCO 2022: 1776-1780 - [c77]Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante:
Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality. EUSIPCO 2022: 1841-1845 - [c76]Masahiro Yukawa, Kyohei Suzuki, Isao Yamada:
Stable Robust Regression under Sparse Outlier and Gaussian Noise. EUSIPCO 2022: 2236-2240 - [c75]Kyohei Suzuki, Masahiro Yukawa:
Sparse Stable Outlier-Robust Regression with Minimax Concave Function. MLSP 2022: 1-6 - [c74]Kyohei Suzuki, Masahiro Yukawa:
On Grouping Effect of Sparse Stable Outlier-Robust Regression. MLSP 2022: 1-6 - 2021
- [j34]Masa-aki Takizawa, Masahiro Yukawa:
Joint Learning of Model Parameters and Coefficients for Online Nonlinear Estimation. IEEE Access 9: 24026-24040 (2021) - [j33]Kwangjin Jeong, Masahiro Yukawa:
Kernel Weights for Equalizing Kernel-Wise Convergence Rates of Multikernel Adaptive Filtering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(6): 927-939 (2021) - [j32]Kyohei Suzuki, Masahiro Yukawa:
Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function. IEEE Trans. Signal Process. 69: 669-681 (2021) - [c73]Masa-aki Takizawa, Masahiro Yukawa:
A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians. APSIPA ASC 2021: 2077-2084 - [c72]Konstantinos Slavakis, Masahiro Yukawa:
Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. ICASSP 2021: 5335-5339 - [c71]Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega:
A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. ICASSP 2021: 5410-5414 - [c70]Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante:
Distributed Sparse Optimization With Minimax Concave Regularization. SSP 2021: 31-35 - [i10]Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski:
Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference. CoRR abs/2109.05342 (2021) - [i9]Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega:
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. CoRR abs/2109.08666 (2021) - 2020
- [c69]Kyohei Suzuki, Masahiro Yukawa:
Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function. EUSIPCO 2020: 2070-2074 - [c68]Hiroyuki Kaneko, Masahiro Yukawa:
Normalized Least-Mean-Square Algorithms with Minimax Concave Penalty. ICASSP 2020: 5445-5449 - [c67]Masa-aki Takizawa, Masahiro Yukawa:
Steepening Squared Error Function Facilitates Online Adaptation of Gaussian Scales. ICASSP 2020: 5450-5454 - [c66]Ran Iwamoto, Masahiro Yukawa:
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection. SemEval@COLING 2020: 98-104
2010 – 2019
- 2019
- [j31]Asahi Ushio, Masahiro Yukawa:
Projection-Based Regularized Dual Averaging for Stochastic Optimization. IEEE Trans. Signal Process. 67(10): 2720-2733 (2019) - [c65]Ran Iwamoto, Masahiro Yukawa:
Online Multiscale-Data Classification Based on Multikernel Adaptive Filtering with Application to Sentiment Analysis. EUSIPCO 2019: 1-5 - [c64]Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski:
Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG. ICASSP 2019: 1070-1074 - [c63]Yu Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Shunsuke Ono, Masahiro Yukawa:
Convolutional-sparse-coded Dynamic Mode Decomposition and Its Application to River State Estimation. ICASSP 2019: 1872-1876 - [c62]Kwangjin Jeong, Masahiro Yukawa:
Automatic Kernel Weighting for Multikernel Adaptive Filtering: Multiscale Aspects. ICASSP 2019: 3152-3156 - [c61]Masa-aki Takizawa, Masahiro Yukawa:
Online Learning with Self-tuned Gaussian Kernels: Good Kernel-initialization by Multiscale Screening. ICASSP 2019: 4863-4867 - 2018
- [j30]Masahiro Yukawa, Hideaki Kagami:
Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription. J. Frankl. Inst. 355(4): 2041-2066 (2018) - [j29]Motoya Ohnishi, Masahiro Yukawa:
Online Nonlinear Estimation via Iterative L2-Space Projections: Reproducing Kernel of Subspace. IEEE Trans. Signal Process. 66(15): 4050-4064 (2018) - [j28]Ban-Sok Shin, Masahiro Yukawa, Renato Luís Garrido Cavalcante, Armin Dekorsy:
Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks. IEEE Trans. Signal Process. 66(21): 5505-5519 (2018) - [c60]Masahiro Yukawa, Isao Yamada:
A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios. APSIPA 2018: 207-211 - [c59]Yuto Ogino, Masahiro Yukawa:
Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors. EUSIPCO 2018: 1187-1191 - [c58]Hideaki Kagami, Hirokazu Kameoka, Masahiro Yukawa:
Joint Separation and Dereverberation of Reverberant Mixtures with Determined Multichannel Non-Negative Matrix Factorization. ICASSP 2018: 31-35 - [c57]Masahiro Yukawa, Klaus-Robert Müller, Yuto Ogino:
How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis. ICASSP 2018: 2841-2845 - [c56]Ban-Sok Shin, Masahiro Yukawa, Renato L. G. Cavalcante, Armin Dekorsy:
A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks. ICASSP 2018: 3414-3418 - [c55]Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada:
Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. ICASSP 2018: 4314-4318 - [c54]Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. ICC 2018: 1-6 - [c53]Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama:
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. NeurIPS 2018: 2818-2829 - [i8]Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama:
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. CoRR abs/1806.02985 (2018) - 2017
- [j27]Osamu Toda, Masahiro Yukawa:
Online Model-Selection and Learning for Nonlinear Estimation Based on Multikernel Adaptive Filtering. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(1): 236-250 (2017) - [c52]Motoya Ohnishi, Masahiro Yukawa:
Online learning in L2 space with multiple Gaussian kernels. EUSIPCO 2017: 1594-1598 - [c51]Hirokazu Kameoka, Hideaki Kagami, Masahiro Yukawa:
Complex NMF with the generalized Kullback-Leibler divergence. ICASSP 2017: 56-60 - [c50]Hideaki Kagami, Hirokazu Kameoka, Masahiro Yukawa:
A majorization-minimization algorithm with projected gradient updates for time-domain spectrogram factorization. ICASSP 2017: 561-565 - [c49]Asahi Ushio, Masahiro Yukawa:
Projection-based dual averaging for stochastic sparse optimization. ICASSP 2017: 2307-2311 - [c48]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. ICASSP 2017: 4800-4804 - [c47]Ban-Sok Shin, Henning Paul, Masahiro Yukawa, Armin Dekorsy:
Distributed nonlinear regression using in-network processing with multiple Gaussian kernels. SPAWC 2017: 1-5 - [i7]Daniyal Amir Awan, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. CoRR abs/1711.00355 (2017) - 2016
- [j26]Masahiro Yukawa, Klaus-Robert Müller:
Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? IEEE Signal Process. Lett. 23(10): 1424-1428 (2016) - [j25]Masahiro Yukawa, Shun-ichi Amari:
ℓp-Regularized Least Squares (0<p<1) and Critical Path. IEEE Trans. Inf. Theory 62(1): 488-502 (2016) - [j24]Masa-aki Takizawa, Masahiro Yukawa:
Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights. IEEE Trans. Signal Process. 64(16): 4337-4350 (2016) - [j23]Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, Masahiro Yukawa:
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. IEEE Trans. Veh. Technol. 65(7): 5461-5473 (2016) - [c46]Hideaki Kagami, Masahiro Yukawa:
Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription. EUSIPCO 2016: 1138-1142 - [c45]Airi Takeuchi, Masahiro Yukawa, Klaus-Robert Müller:
A better metric in kernel adaptive filtering. EUSIPCO 2016: 1578-1582 - 2015
- [j22]Masa-aki Takizawa, Masahiro Yukawa:
Adaptive Nonlinear Estimation Based on Parallel Projection Along Affine Subspaces in Reproducing Kernel Hilbert Space. IEEE Trans. Signal Process. 63(16): 4257-4269 (2015) - [j21]Masahiro Yukawa:
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. IEEE Trans. Signal Process. 63(22): 6037-6048 (2015) - [c44]Yu Morikawa, Masahiro Yukawa, Hisakazu Kikuchi:
Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription. APSIPA 2015: 14-18 - [c43]Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard:
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces. ICASSP 2015: 2001-2005 - [c42]Masahiro Yukawa:
Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces. ICASSP 2015: 3362-3366 - [c41]Osamu Toda, Masahiro Yukawa:
An efficient kernel normalized least mean square algorithm with compactly supported kernel. ICASSP 2015: 3367-3371 - 2014
- [j20]Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, Hisakazu Kikuchi:
An Efficient Adaptive Filtering Scheme Based on Combining Multiple Metrics. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(3): 800-808 (2014) - [j19]Kwangjin Jeong, Masahiro Yukawa, Shun-ichi Amari:
Can Critical-Point Paths Under ℓp-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions? IEEE Trans. Inf. Theory 60(5): 2960-2968 (2014) - [c40]Osamu Toda, Masahiro Yukawa:
On Kernel design for online model selection by Gaussian multikernel adaptive filtering. APSIPA 2014: 1-5 - [c39]Masa-aki Takizawa, Masahiro Yukawa:
An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space. ICASSP 2014: 4508-4512 - [c38]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. ICASSP 2014: 5477-5481 - [i6]Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, Masahiro Yukawa:
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. CoRR abs/1404.0979 (2014) - [i5]Masahiro Yukawa:
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. CoRR abs/1408.0853 (2014) - [i4]Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard:
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces. CoRR abs/1410.3595 (2014) - 2013
- [j18]Natsuki Aizawa, Shogo Muramatsu, Masahiro Yukawa:
Image Restoration with Multiple DirLOTs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1954-1961 (2013) - [j17]Shun-ichi Amari, Masahiro Yukawa:
Minkovskian Gradient for Sparse Optimization. IEEE J. Sel. Top. Signal Process. 7(4): 576-585 (2013) - [j16]Masahiro Yukawa, Youngchul Sung, Gilwon Lee:
Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance. IEEE Trans. Signal Process. 61(11): 2874-2886 (2013) - [j15]Juho Park, Gilwon Lee, Youngchul Sung, Masahiro Yukawa:
Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control. IEEE Trans. Signal Process. 61(12): 3100-3112 (2013) - [c37]Masahiro Yukawa, Yuki Saito:
Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm. ICICS 2013: 1-5 - [c36]Osamu Toda, Masahiro Yukawa:
A reconsideration of improved PNLMS algorithm from metric combining viewpoint. ACSSC 2013: 1951-1955 - [c35]Masahiro Yukawa, Ryu-ichiro Ishii:
On adaptivity of online model selection method based on multikernel adaptive filtering. APSIPA 2013: 1-6 - [c34]Masahiro Yukawa, Ryu-ichiro Ishii:
Online model selection and learning by multikernel adaptive filtering. EUSIPCO 2013: 1-5 - [c33]Masa-aki Takizawa, Masahiro Yukawa:
An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces. ICASSP 2013: 3557-3561 - [c32]Yu Morikawa, Masahiro Yukawa:
A sparse optimization approach to supervised NMF based on convex analytic method. ICASSP 2013: 6078-6082 - [c31]Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, Isao Yamada:
A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. ISWCS 2013: 1-4 - [i3]Masahiro Yukawa, Shun-ichi Amari:
Lp-Regularized Least Squares (0<p<1) and Critical Path. CoRR abs/1304.6591 (2013) - [i2]Rodrigo Caiado de Lamare, Masahiro Yukawa, Isao Yamada:
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. CoRR abs/1306.6378 (2013) - 2012
- [j14]Masahiro Yukawa:
Multikernel Adaptive Filtering. IEEE Trans. Signal Process. 60(9): 4672-4682 (2012) - [c30]Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Masahiro Yukawa, Shogo Muramatsu, Jaeho Shin:
Color-tone similarity on digital images. APSIPA 2012: 1-4 - [c29]Shogo Muramatsu, Natsuki Aizawa, Masahiro Yukawa:
Image restoration with union of directional orthonormal DWTs. APSIPA 2012: 1-4 - [c28]Masahiro Yukawa, Ryu-ichiro Ishii:
An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace. EUSIPCO 2012: 2183-2187 - [c27]Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, Isao Yamada:
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. ISCAS 2012: 2749-2752 - [c26]Masahiro Yukawa, Shun-ichi Amari:
ℓp-constrained least squares (0 < p < 1) and its critical path. ISIT 2012: 2221-2225 - [c25]You Nakajima, Masahiro Yukawa:
Nonlinear channel equalization by multi-kernel adaptive filter. SPAWC 2012: 384-388 - [i1]Juho Park, Gilwon Lee, Youngchul Sung, Masahiro Yukawa:
Coordinate Beamforming with Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control. CoRR abs/1203.1758 (2012) - 2011
- [c24]Masahiro Yukawa:
Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques. ICICS 2011: 1-4 - [c23]Masahiro Yukawa, Isao Yamada:
A deterministic analysis of linearly constrained adaptive filtering algorithms. EUSIPCO 2011: 131-135 - [c22]Masahiro Yukawa:
Nonlinear adaptive filtering techniques with multiple kernels. EUSIPCO 2011: 136-140 - [c21]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. ICASSP 2011: 4296-4299 - [c20]Masahiro Yukawa, Isao Yamada:
Adaptive beamforming by simultaneous projection in dual domains. nDS 2011: 1-5 - [c19]Gilwon Lee, Juho Park, Youngchul Sung, Masahiro Yukawa:
Coordinated beamforming with relaxed zero forcing. WCSP 2011: 1-5 - [p1]Isao Yamada, Masahiro Yukawa, Masao Yamagishi:
Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. Fixed-Point Algorithms for Inverse Problems in Science and Engineering 2011: 345-390 - 2010
- [j13]Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada:
Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(2): 456-466 (2010) - [j12]Masahiro Yukawa, Wolfgang Utschick:
A Fast Stochastic Gradient Algorithm: Maximal Use of Sparsification Benefits under Computational Constraints. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(2): 467-475 (2010) - [j11]Lei Wang, Rodrigo C. de Lamare, Masahiro Yukawa:
Adaptive reduced-rank constrained constant modulus algorithms based on joint iterative optimization of filters for beamforming. IEEE Trans. Signal Process. 58(6): 2983-2997 (2010) - [c18]Masahiro Yukawa, Isao Yamada:
Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed l1 minimization approach. ICASSP 2010: 3058-3061 - [c17]Masahiro Yukawa, Isao Yamada:
A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations. ICASSP 2010: 3730-3733 - [c16]Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
A sparse adaptive filtering using time-varying soft-thresholding techniques. ICASSP 2010: 3734-3737 - [c15]Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada:
Multi-domain adaptive filtering by feasibility splitting. ICASSP 2010: 3814-3817
2000 – 2009
- 2009
- [j10]Masahiro Yukawa, Isao Yamada:
A Unified View of Adaptive Variable-Metric Projection Algorithms. EURASIP J. Adv. Signal Process. 2009 (2009) - [j9]Masahiro Yukawa:
Krylov-Proportionate Adaptive Filtering Techniques Not Limited to Sparse Systems. IEEE Trans. Signal Process. 57(3): 927-943 (2009) - [j8]Masahiro Yukawa, Rodrigo C. de Lamare, Isao Yamada:
Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace. IEEE Trans. Signal Process. 57(12): 4660-4674 (2009) - [c14]Masahiro Yukawa, Wolfgang Utschick:
Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization. ICASSP 2009: 3121-3124 - [c13]Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada:
Signal processing in dual domain by adaptive projected subgradient method. DPS 2009: 1-6 - 2008
- [j7]Masahiro Yukawa, Ken Umeno, Gen Hori:
Employing LSF at Transmitter Eases MMSE Adaptation at Receiver in Asynchronous CDMA Systems. EURASIP J. Wirel. Commun. Netw. 2008 (2008) - [j6]Masahiro Yukawa, Rodrigo C. de Lamare, Raimundo Sampaio Neto:
Efficient Acoustic Echo Cancellation With Reduced-Rank Adaptive Filtering Based on Selective Decimation and Adaptive Interpolation. IEEE Trans. Speech Audio Process. 16(4): 696-710 (2008) - [c12]