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2020 – today
- 2024
[j43]Chengcheng Wang
, Ye Wei, Masahiro Yukawa:
Dispersed-sparsity-aware LMS algorithm for scattering-sparse system identification. Signal Process. 225: 109616 (2024)- [j42]Navneet Agrawal, Renato Luís Garrido Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. IEEE Trans. Signal Inf. Process. over Networks 10: 610-625 (2024) - [j41]Maximilian H. V. Tillmann, Masahiro Yukawa:
Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss. IEEE Trans. Signal Inf. Process. over Networks 10: 690-705 (2024) - [c83]Kyohei Suzuki, Masahiro Yukawa:
External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity. ICASSP 2024: 9471-9475 - [c82]Naoto Kaneko, Masahiro Yukawa, Renato L. G. Cavalcante, Lorenzo Miretti:
Robust Estimation of Angular Power Spectrum in Massive MIMO Under Covariance Estimation Errors: Learning Centers and Scales of Gaussians. SPAWC 2024: 576-580 - 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) - [c81]Keisuke Takazawa, Hirokazu Kameoka, Masahiro Yukawa:
Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra. APSIPA ASC 2023: 2019-2023 - [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]Masahiro Yukawa:
Krylov-proportionate NLMS algorithm based on multistage Wiener filter representation. ICASSP 2008: 3801-3804 - 2007
- [j5]Masahiro Yukawa, Konstantinos Slavakis, Isao Yamada:
Adaptive Parallel Quadratic-Metric Projection Algorithms. IEEE Trans. Speech Audio Process. 15(5): 1665-1680 (2007) - [c11]Masahiro Yukawa, Isao Yamada:
Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation. ICASSP (3) 2007: 1353-1356 - [c10]Masahiro Yukawa, Rodrigo C. de Lamare, Raimundo Sampaio Neto:
Acoustic Echo Cancellation with Reduced-Rank Adaptive Interpolated Filter Based on Parallel-Branch Diversity Decimation. DSP 2007: 39-42 - 2006
- [j4]Masahiro Yukawa, Noriaki Murakoshi, Isao Yamada:
Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique. EURASIP J. Adv. Signal Process. 2006 (2006) - [j3]Noriyuki Takahashi, Masahiro Yukawa, Isao Yamada:
An Efficient Distributed Power Control for Infeasible Downlink Scenarios - Global-Local Fixed-Point-Approximation Technique. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(8): 2107-2118 (2006) - [j2]Masahiro Yukawa, Isao Yamada:
Pairwise Optimal Weight Realization - Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm. IEEE Trans. Signal Process. 54(12): 4557-4571 (2006) - [c9]Masahiro Yukawa, Isao Yamada:
Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation. EUSIPCO 2006: 1-5 - [c8]Noriyuki Takahashi, Masahiro Yukawa, Isao Yamada:
An Efficient Heuristic Approach to the Infeasible Downlink Power Control Problem. ICASSP (4) 2006: 765-768 - [c7]Konstantinos Slavakis, Masahiro Yukawa, Isao Yamada:
Robust Capon Beamforming by the Adaptive Projected Subgradient Method. ICASSP (4) 2006: 1005-1008 - [c6]Masahiro Yukawa, Isao Yamada:
Adaptive Beamforming by Constrained Parallel Projection in the Presence of Spatially-Correlated Interferences. ICASSP (4) 2006: 1009-1012 - [c5]Isao Yamada, Konstantinos Slavakis, Masahiro Yukawa, Renato L. G. Cavalcante:
Adaptive projected subgradient method and its applications to robust signal processing. ISCAS 2006 - 2005
- [j1]Masahiro Yukawa, Renato L. G. Cavalcante, Isao Yamada:
Efficient Blind MAI Suppression in DS/CDMA Systems by Embedded Constraint Parallel Projection Techniques. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(8): 2062-2071 (2005) - [c4]Masahiro Yukawa, Noriaki Murakoshi, Isao Yamada:
An efficient fast stereo echo canceler by pairwise optimal weight realization technique. EUSIPCO 2005: 1-4 - [c3]Renato L. G. Cavalcante, Masahiro Yukawa, Isao Yamada:
Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method. GLOBECOM 2005: 6 - [c2]Masahiro Yukawa, Renato L. G. Cavalcante, Isao Yamada:
Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques. ICASSP (3) 2005: 929-932 - 2004
- [c1]Masahiro Yukawa, Isao Yamada:
Acceleration of adaptive parallel projection algorithms by Pairwise Optimal WEight Realization. EUSIPCO 2004: 713-716
Coauthor Index
Renato L. G. Cavalcante
aka: Renato Luís Garrido Cavalcante
aka: Renato Luís Garrido Cavalcante
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
