A 200 Mbit/s Synchronous TDM Loop Optical LAN Suitable for Multiservice Integration. - Takatoshi Minami; Kazuo Yamaguchi; Takakiyo Nakagami; Hirobumi Takanashi; Naoji Fujino; Hiroshi Hamano; Masuo Suyama; Kazuo Iguchi; Isao Yamada (IEEE J. Sel. Areas Commun., 1985)

An optimal design for a homomorphic deconvolution system. - Isao Yamada; Kohichi Sakaniwa (IEEE Trans. Signal Process., 1992)

A fast stability test for multidimensional systems. - Kaoru Kurosawa; Isao Yamada; Tetsunari Yokokawa; Shigeo Tsujii (ISCAS, 1993)

A Necessary Condition for Linear Phase in Two Dimensional Perfect Reconstruction QMF Banks. - Kaoru Kurosawa; Isao Yamada; Masayuki Ihara (ISCAS, 1994)

Optimum Highpass Filter in Linear Phase Perfect Reconstruction QMF Bank. - Kaoru Kurosawa; Isao Yamada; Naonori Yamashita; Toshiriro Komou (ISCAS, 1994)

A multidimensional isomorphic operator and its properties-a proposal of finite-extent multidimensional cepstrum. - Isao Yamada; Kohichi Sakaniwa; Shigeo Tsujii (IEEE Trans. Signal Process., 1994)

Constrained parallel projection methods for optimal signal estimation and design-constrained inconsistent signal feasibility problems. - Isao Yamada; Nobuhiko Ogura; Akito Goto; Kohichi Sakaniwa (ICIP (3), 1996)

Algebraic multidimensional phase unwrapping and zero distribution of complex polynomials-characterization of multivariate stable polynomials. - Isao Yamada; Kaoru Kurosawa; Hiroshi Hasegawa; Kohichi Sakaniwa (IEEE Trans. Signal Process., 1998)

An optimal set-theoretic blind deconvolution scheme based on hybrid steepest descent method. - Isao Yamada; Masanori Kato; Kohichi Sakaniwa (ICASSP, 1999)

A Nonlinear Pre-Filtering Technique for Set-Theoretic Linear Blind Deconvolution Scheme. - Isao Yamada; Masanori Kato; Kohichi Sakaniwa (ICIP (2), 1999)

Approximation of convexly constrained pseudoinverse by hybrid steepest descent method. - Isao Yamada (ISCAS (5), 1999)

A simple M-dimensional model-based phase unwrapping based on integration by parts. - Isao Yamada; Koji Nakajima (ISCAS (5), 1999)

Biorthogonal bases of compactly supported matrix valued wavelets. - Konstantinos Slavakis; Isao Yamada (ISSPA, 1999)

A Simple Least-Squares Design of M-D IIR Filters with Fixed Separable Denominator Based on Multivariate Division Algorithm. - Hiroshi Hasegawa; Isao Yamada; Kohichi Sakaniwa (Multidimens. Syst. Signal Process., 2000)

An efficient robust adaptive filtering scheme based on parallel subgradient projection techniques. - Isao Yamada; Konstantinos Slavakis; Kenyu Yamada (ICASSP, 2001)

Compactly supported matrix valued wavelets-biorthogonal unconditional bases. - Konstantinos Slavakis; Isao Yamada (ISCAS (2), 2001)

A hidgher order generalization of an alias-free discrete time-frequency analysis. - Hiroshi Hasegawa; Yasuhiro Miki; Isao Yamada; Kohichi Sakaniwa (ICASSP, 2002)

Spectrum estimation of real vector wide sense stationary processes by the Hybrid Steepest Descent Method. - Konstantinos Slavakis; Isao Yamada; Kohichi Sakaniwa (ICASSP, 2002)

A truncated polynomial interpolation theorem and its application to the WLS design of IIR filters. - Hiroshi Hasegawa; Masashi Nakagawa; Isao Yamada; Kohichi Sakaniwa (ISCAS (5), 2002)

A Higher Order Generalization of an Alias-Free Discrete Time-Frequency Analysis. - Hiroshi Hasegawa; Yasuhiro Miki; Isao Yamada; Kohichi Sakaniwa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002)

An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques. - Isao Yamada; Konstantinos Slavakis; Kenyu Yamada (IEEE Trans. Signal Process., 2002)

Locally reduced-rank optimal filtering and its approximation by successive alternating minimization. - Isao Yamada; Jamal Elbadraoui (ICASSP (6), 2003)

A Truncated Polynomial Interpolation and Its Application to Polynomially WLS Design of IIR Filters. - Hiroshi Hasegawa; Masashi Nakagawa; Isao Yamada; Kohichi Sakaniwa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

A Note on Robust Adaptive Volterra Filtering Based on Parallel Subgradient Projection Techniques. - Isao Yamada; Takuya Okada; Kohichi Sakaniwa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Computation of symmetric positive definite Toeplitz matrices by the hybrid steepest descent method. - Konstantinos Slavakis; Isao Yamada; Kohichi Sakaniwa (Signal Process., 2003)

A fast blind multiple access interference reduction in DS/CDMA systems by adaptive projected subgradient method. - Renato L. G. Cavalcante; Isao Yamada; Kohichi Sakaniwa (EUSIPCO, 2004)

Acceleration of adaptive parallel projection algorithms by Pairwise Optimal WEight Realization. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2004)

An efficient fast stereo echo canceler by pairwise optimal weight realization technique. - Masahiro Yukawa; Noriaki Murakoshi; Isao Yamada (EUSIPCO, 2005)

Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method. - Renato L. G. Cavalcante; Masahiro Yukawa; Isao Yamada (GLOBECOM, 2005)

An adaptive super-resolution of videos with noise information on camera systems. - Toshiyuki Ono; Hiroshi Hasegawa; Isao Yamada; Kohichi Sakaniwa (ICASSP (2), 2005)

Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques. - Masahiro Yukawa; Renato L. G. Cavalcante; Isao Yamada (ICASSP (3), 2005)

A color super-resolution with multiple nonsmooth constraints by hybrid steepest descent method. - Ryota Sasahara; Hiroshi Hasegawa; Isao Yamada; Kohichi Sakaniwa (ICIP (1), 2005)

High-resolution DOA estimation by algebraic phase unwrapping algorithm. - Isao Yamada (ISCAS (3), 2005)

An Iterative MPEG Super-Resolution with an Outer Approximation of Framewise Quantization Constraint. - Hiroshi Hasegawa; Toshiyuki Ono; Isao Yamada; Kohichi Sakaniwa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Efficient Blind MAI Suppression in DS/CDMA Systems by Embedded Constraint Parallel Projection Techniques. - Masahiro Yukawa; Renato L. G. Cavalcante; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2006)

Steady-State Performance of Constrained Normalized Adaptive Filters for CDMA Systems. - Renato L. G. Cavalcante; Isao Yamada (ICASSP (3), 2006)

Robust Capon Beamforming by the Adaptive Projected Subgradient Method. - Konstantinos Slavakis; Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

An Efficient Heuristic Approach to the Infeasible Downlink Power Control Problem. - Noriyuki Takahashi; Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

Minimum-Variance Pseudo-Unbiased Low-Rank Estimator for Ill-Conditioned Inverse Problems. - Isao Yamada; Jamal Elbadraoui (ICASSP (3), 2006)

Adaptive Beamforming by Constrained Parallel Projection in the Presence of Spatially-Correlated Interferences. - Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

Adaptive projected subgradient method and its applications to robust signal processing. - Isao Yamada; Konstantinos Slavakis; Masahiro Yukawa; Renato L. G. Cavalcante (ISCAS, 2006)

Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique. - Masahiro Yukawa; Noriaki Murakoshi; Isao Yamada (EURASIP J. Adv. Signal Process., 2006)

An Efficient Distributed Power Control for Infeasible Downlink Scenarios - Global-Local Fixed-Point-Approximation Technique. - Noriyuki Takahashi; Masahiro Yukawa; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Pairwise Optimal Weight Realization - Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm. - Masahiro Yukawa; Isao Yamada (IEEE Trans. Signal Process., 2006)

Multiaccess Interference Reduction in OSTBC-MIMO Systems by Adaptive Projected Subgradient Method. - Renato L. G. Cavalcante; Isao Yamada (ICASSP (3), 2007)

Online Kernel-Based Classification by Projections. - Konstantinos Slavakis; Sergios Theodoridis; Isao Yamada (ICASSP (2), 2007)

Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation. - Masahiro Yukawa; Isao Yamada (ICASSP (3), 2007)

Adaptive Parallel Quadratic-Metric Projection Algorithms. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (IEEE Trans. Speech Audio Process., 2007)

Robust Wideband Beamforming by the Hybrid Steepest Descent Method. - Konstantinos Slavakis; Isao Yamada (IEEE Trans. Signal Process., 2007)

Robust adaptive nonlinear beamforming by kernels and projection mappings. - Konstantinos Slavakis; Sergios Theodoridis; Isao Yamada (EUSIPCO, 2008)

Peak-to-average power ratio reduction in OFDM systems by the adaptive projected subgradient method. - Renato L. G. Cavalcante; Isao Yamada (ICASSP, 2008)

Steady-state performance of hyperslab projection algorithm. - Noriyuki Takahashi; Isao Yamada (ICASSP, 2008)

An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions. - Hiroshi Hasegawa; Toshinori Ohtsuka; Isao Yamada; Kohichi Sakaniwa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

An Efficient Adaptive Minor Subspace Extraction Using Exact Nested Orthogonal Complement Structure. - Masaki Misono; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions. - Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Parallel algorithms for variational inequalities over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings. - Noriyuki Takahashi; Isao Yamada (J. Approx. Theory, 2008)

Steady-state analysis of constrained normalized adaptive filters for MAI reduction by energy conservation arguments. - Renato L. G. Cavalcante; Isao Yamada (Signal Process., 2008)

Multiaccess Interference Suppression in Orthogonal Space-Time Block Coded MIMO Systems by Adaptive Projected Subgradient Method. - Renato L. G. Cavalcante; Isao Yamada (IEEE Trans. Signal Process., 2008)

MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems. - Tomasz Piotrowski; Isao Yamada (IEEE Trans. Signal Process., 2008)

Online Kernel-Based Classification Using Adaptive Projection Algorithms. - Konstantinos Slavakis; Sergios Theodoridis; Isao Yamada (IEEE Trans. Signal Process., 2008)

Learning in diffusion networks with an adaptive projected subgradient method. - Renato L. G. Cavalcante; Isao Yamada; Bernard Mulgrew (ICASSP, 2009)

Why the stochastic MV-PURE estimator excels in highly noisy situations? - Tomasz Piotrowski; Isao Yamada (ICASSP, 2009)

Diffusion least-mean squares with adaptive combiners. - Noriyuki Takahashi; Isao Yamada; Ali H. Sayed (ICASSP, 2009)

An improvement of subgradient projection operator by composing monotonic functions. - Masao Yamagishi; Isao Yamada (ICASSP, 2009)

Signal processing in dual domain by adaptive projected subgradient method. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (DPS, 2009)

A Unified View of Adaptive Variable-Metric Projection Algorithms. - Masahiro Yukawa; Isao Yamada (EURASIP J. Adv. Signal Process., 2009)

An Ergodic Algorithm for the Power-Control Games for CDMA Data Networks. - Hideaki Iiduka; Isao Yamada (J. Math. Model. Algorithms, 2009)

A Use of Conjugate Gradient Direction for the Convex Optimization Problem over the Fixed Point Set of a Nonexpansive Mapping. - Hideaki Iiduka; Isao Yamada (SIAM J. Optim., 2009)

A Flexible Peak-To-Average Power Ratio Reduction Scheme for OFDM Systems by the Adaptive Projected Subgradient Method. - Renato L. G. Cavalcante; Isao Yamada (IEEE Trans. Signal Process., 2009)

An adaptive projected subgradient approach to learning in diffusion networks. - Renato L. G. Cavalcante; Isao Yamada; Bernard Mulgrew (IEEE Trans. Signal Process., 2009)

Stochastic MV-PURE Estimator - Robust Reduced-Rank Estimator for Stochastic Linear Model. - Tomasz Piotrowski; Renato L. G. Cavalcante; Isao Yamada (IEEE Trans. Signal Process., 2009)

Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case. - Konstantinos Slavakis; Sergios Theodoridis; Isao Yamada (IEEE Trans. Signal Process., 2009)

Steady-state mean-square performance analysis of a relaxed set-membership NLMS algorithm by the energy conservation argument. - Noriyuki Takahashi; Isao Yamada (IEEE Trans. Signal Process., 2009)

Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace. - Masahiro Yukawa; Rodrigo C. de Lamare; Isao Yamada (IEEE Trans. Signal Process., 2009)

Distributed multiagent learning with a broadcast adaptive subgradient method. - Renato L. G. Cavalcante; Alex Rogers; Nicholas R. Jennings; Isao Yamada (AAMAS, 2010)

Alternating minimization techniques for the efficient recovery of a sparsely corrupted low-rank matrix. - Silvia Gandy; Isao Yamada (ICASSP, 2010)

A sparse adaptive filtering using time-varying soft-thresholding techniques. - Yukihiro Murakami; Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

Link probability control for probabilistic diffusion least-mean squares over resource-constrained networks. - Noriyuki Takahashi; Isao Yamada (ICASSP, 2010)

Multi-domain adaptive filtering by feasibility splitting. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (ICASSP, 2010)

Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed l1 minimization approach. - Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations. - Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

Asymptotic minimization of sequences of loss functions constrained by families of quasi-nonexpansive mappings and its application to online learning - Konstantinos Slavakis; Isao Yamada (CoRR, 2010)

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Diffusion least-mean squares with adaptive combiners: formulation and performance analysis. - Noriyuki Takahashi; Isao Yamada; Ali H. Sayed (IEEE Trans. Signal Process., 2010)

Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. - Isao Yamada; Masahiro Yukawa; Masao Yamagishi (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting. - Isao Yamada; Silvia Gandy; Masao Yamagishi (EUSIPCO, 2011)

A deterministic analysis of linearly constrained adaptive filtering algorithms. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2011)

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2011)

Adaptive beamforming by simultaneous projection in dual domains. - Masahiro Yukawa; Isao Yamada (nDS, 2011)

Foreword. - Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method. - Renato L. G. Cavalcante; Alex Rogers; Nicholas R. Jennings; Isao Yamada (IEEE J. Sel. Top. Signal Process., 2011)

High-resolution estimation of the directions-of-arrival distribution by algebraic phase unwrapping algorithms. - Isao Yamada; Kazuhiro Oguchi (Multidimens. Syst. Signal Process., 2011)

Adaptive Learning in a World of Projections. - Sergios Theodoridis; Konstantinos Slavakis; Isao Yamada (IEEE Signal Process. Mag., 2011)

A hierarchical convex optimization approach for high fidelity solution selection in image recovery. - Shunsuke Ono; Isao Yamada (APSIPA, 2012)

Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise. - Takayuki Yamamoto; Masao Yamagishi; Isao Yamada (EUSIPCO, 2012)

Efficient Parallel Computation of the Stochastic MV-PURE Estimator by the Hybrid Steepest Descent Method. - Tomasz Piotrowski; Isao Yamada (ICAISC (2), 2012)

Missing region recovery by promoting blockwise low-rankness. - Shunsuke Ono; Takamichi Miyata; Isao Yamada; Katsunori Yamaoka (ICASSP, 2012)

Performance of the stochastic MV-PURE estimator with explicit modeling of uncertainty. - Tomasz Piotrowski; Isao Yamada (ICASSP, 2012)

Two variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution. - Masao Yamagishi; Shunsuke Ono; Isao Yamada (ICASSP, 2012)

Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. - Masahiro Yukawa; Yuta Tawara; Masao Yamagishi; Isao Yamada (ISCAS, 2012)

Image Recovery by Decomposition with Component-Wise Regularization. - Shunsuke Ono; Takamichi Miyata; Isao Yamada; Katsunori Yamaoka (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Computational Method for Solving a Stochastic Linear-Quadratic Control Problem Given an Unsolvable Stochastic Algebraic Riccati Equation. - Hideaki Iiduka; Isao Yamada (SIAM J. Control. Optim., 2012)

Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting. - Masao Yamagishi; Isao Yamada (APSIPA, 2013)

A Convex Regularize for Reducing Color Artifact in Color Image Recovery. - Shunsuke Ono; Isao Yamada (CVPR, 2013)

Signal recovery by minimizing the Moreau envelope over the fixed point set of nonexpansive mappings. - Isao Yamada; Shunsuke Ono (EUSIPCO, 2013)

Algebraic phase unwrapping for functional data analytic estimations - Extensions and stabilizations. - Daichi Kitahara; Isao Yamada (ICASSP, 2013)

An algebraic real translation of hypercomplex linear systems and its application to adaptive filtering. - Takehiko Mizoguchi; Isao Yamada (ICASSP, 2013)

Poisson image restoration with likelihood constraint via hybrid steepest descent method. - Shunsuke Ono; Isao Yamada (ICASSP, 2013)

A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach. - Shunsuke Ono; Masao Yamagishi; Isao Yamada (ICASSP, 2013)

MV-PURE estimator of dipole source signals in EEG. - Tomasz Piotrowski; Claudia C. Zaragoza-Martínez; David Gutiérrez; Isao Yamada (ICASSP, 2013)

A proximal splitting approach to regularized distributed adaptive estimation in diffusion networks. - Wemer M. Wee; Isao Yamada (ICASSP, 2013)

A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration. - Masao Yamagishi; Isao Yamada (ICASSP, 2013)

Optimized JPEG image decompression with super-resolution interpolation using multi-order total variation. - Shunsuke Ono; Isao Yamada (ICIP, 2013)

A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. - Masahiro Yukawa; Yuta Tawara; Shigenobu Sasaki; Isao Yamada (ISWCS, 2013)

Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. - Rodrigo Caiado de Lamare; Masahiro Yukawa; Isao Yamada (CoRR, 2013)

Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting. - Hiroki Kuroda; Shunsuke Ono; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities. - Wemer M. Wee; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Introduction to the issue on adaptation and learning over complex networks. - Ali H. Sayed; Sergio Barbarossa; Sergios Theodoridis; Isao Yamada (IEEE J. Sel. Top. Signal Process., 2013)

An adaptive extraction of generalized eigensubspace by using exact nested orthogonal complement structure. - Tuan Duong Nguyen; Noriyuki Takahashi; Isao Yamada (Multidimens. Syst. Signal Process., 2013)

The Adaptive Projected Subgradient Method Constrained by Families of Quasi-nonexpansive Mappings and Its Application to Online Learning. - Konstantinos Slavakis; Isao Yamada (SIAM J. Optim., 2013)

A unified convergence analysis of Normalized PAST algorithms for estimating principal and minor components. - Tuan Duong Nguyen; Isao Yamada (Signal Process., 2013)

Stochastic Analysis of Hyperslab-Based Adaptive Projected Subgradient Method Under Bounded Noise. - Symeon Chouvardas; Konstantinos Slavakis; Sergios Theodoridis; Isao Yamada (IEEE Signal Process. Lett., 2013)

Adaptation and Learning over Complex Networks [From the Guest Editors]. - Ali H. Sayed; Sergio Barbarossa; Sergios Theodoridis; Isao Yamada (IEEE Signal Process. Mag., 2013)

Adaptive Normalized Quasi-Newton Algorithms for Extraction of Generalized Eigen-Pairs and Their Convergence Analysis. - Tuan Duong Nguyen; Isao Yamada (IEEE Trans. Signal Process., 2013)

A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization. - Tomasz Piotrowski; David Gutiérrez; Isao Yamada; Jaroslaw Zygierewicz (Brain Informatics and Health, 2014)

Decorrelated Vectorial Total Variation. - Shunsuke Ono; Isao Yamada (CVPR, 2014)

A reduced rank approach for covariance matrix estimation in EEG signal classification. - Naoki Tomida; Masao Yamagishi; Isao Yamada; Toshihisa Tanaka 001 (EMBC, 2014)

Algebraic phase unwrapping over collection of triangles based on two-dimensional spline smoothing. - Daichi Kitahara; Isao Yamada (ICASSP, 2014)

Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Second-order total Generalized Variation constraint. - Shunsuke Ono; Isao Yamada (ICASSP, 2014)

Reduced-rank neural activity index for EEG/MEG multi-source localization. - Tomasz Piotrowski; David Gutiérrez; Isao Yamada; Jaroslaw Zygierewicz (ICASSP, 2014)

Detecting edges of reflections from a single image via convex optimization. - Katsuhiro Toyokawa; Shunsuke Ono; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Mean-square performance of the hyperslab-based adaptive projected subgradient method. - Wemer M. Wee; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2014)

Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities. - Wemer M. Wee; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Performance of the stochastic MV-PURE estimator in highly noisy settings. - Tomasz Piotrowski; Isao Yamada (J. Frankl. Inst., 2014)

Necessary and sufficient conditions for convergence of the DDT systems of the Normalized PAST algorithms. - Tuan Duong Nguyen; Isao Yamada (Signal Process., 2014)

Cartoon-Texture Image Decomposition Using Blockwise Low-Rank Texture Characterization. - Shunsuke Ono; Takamichi Miyata; Isao Yamada (IEEE Trans. Image Process., 2014)

An Algebraic Translation of Cayley-Dickson Linear Systems and Its Applications to Online Learning. - Takehiko Mizoguchi; Isao Yamada (IEEE Trans. Signal Process., 2014)

A nonexpansive operator for computationally efficient hierarchical convex optimization. - Masao Yamagishi; Isao Yamada (APSIPA, 2015)

Reduced-rank modeling of time-varying spectral patterns for supervised source separation. - Tomonori Fujiwara; Masao Yamagishi; Isao Yamada (ICASSP, 2015)

Probability density function estimation by positive quartic C2-spline functions. - Daichi Kitahara; Isao Yamada (ICASSP, 2015)

A virtual resampling technique for algebraic two-dimensional phase unwrapping. - Daichi Kitahara; Masao Yamagishi; Isao Yamada (ICASSP, 2015)

Total generalized variation for graph signals. - Shunsuke Ono; Isao Yamada; Itsuo Kumazawa (ICASSP, 2015)

Algebraic phase unwrapping along the real axis: extensions and stabilizations. - Daichi Kitahara; Isao Yamada (Multidimens. Syst. Signal Process., 2015)

Hierarchical Convex Optimization With Primal-Dual Splitting. - Shunsuke Ono; Isao Yamada (IEEE Trans. Signal Process., 2015)

Signal Recovery With Certain Involved Convex Data-Fidelity Constraints. - Shunsuke Ono; Isao Yamada (IEEE Trans. Signal Process., 2015)

Stabilization of adaptive eigenvector extraction by continuation in nested orthogonal complement structure. - Kenji Kakimoto; Daichi Kitahara; Masao Yamagishi; Isao Yamada (ICASSP, 2016)

Two-dimensional positive spline smoothing and its application to probability density estimation. - Daichi Kitahara; Isao Yamada (ICASSP, 2016)

A fast dual iterative algorithm for convexly constrained spline smoothing. - Masao Yamagishi; Daichi Kitahara; Isao Yamada (ICASSP, 2016)

Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio. - Tomasz Piotrowski; Isao Yamada (J. Frankl. Inst., 2016)

Color-Line Regularization for Color Artifact Removal. - Shunsuke Ono; Isao Yamada (IEEE Trans. Computational Imaging, 2016)

Algebraic Phase Unwrapping Based on Two-Dimensional Spline Smoothing Over Triangles. - Daichi Kitahara; Isao Yamada (IEEE Trans. Signal Process., 2016)

Acceleration of Adaptive normalized quasi-Newton algorithm with improved upper bounds of the condition number. - Kenji Kakimoto; Masao Yamagishi; Isao Yamada (ICASSP, 2017)

Accelerating the hybrid steepest descent method for affinely constrained convex composite minimization tasks. - Konstantinos Slavakis; Isao Yamada; Shunsuke Ono (ICASSP, 2017)

Global behavior of parallel projection method for certain nonconvex feasibility problems. - Masao Yamagishi; Isao Yamada (ICASSP, 2017)

Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2017)

A Branch Cut Algorithm for 180-Degree Ambiguity Resolution in 2D Vector Fields and Its Application to Single-Frame Fringe Projection Profilometry. - Daichi Kitahara; Isao Yamada (APSIPA, 2018)

Hypercomplex Principal Component Pursuit via Convex Optimization. - Takehiko Mizoguchi; Isao Yamada (APSIPA, 2018)

A Nested $ ell_{1}$-penalized Adaptive Normalized Quasi-Newton Algorithm for Sparsity-Aware Generalized Eigen-subspace Extraction. - Kengo Uchida; Isao Yamada (APSIPA, 2018)

A DDoS Attack Detection by Group-Sparse Plus Low-Rank Temporally-Smooth Decomposition for Extended OD Flow Matrix. - Masao Yamagishi; Masaya Endo; Isao Yamada (APSIPA, 2018)

A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios. - Masahiro Yukawa; Isao Yamada (APSIPA, 2018)

Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. - Kwangjin Jeong; Masahiro Yukawa; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

Hypercomplex Tensor Completion with Cayley-Dickson Singular Value Decomposition. - Takehiko Mizoguchi; Isao Yamada (ICASSP, 2018)

An Efficient Greedy Algorithm for finding the Nearest Simultaneous Diagonalizable Family. - Riku Akema; Masao Yamagishi; Isao Yamada (SSP, 2018)

An ℓ1-Penalization Of Adaptive Normalized Quasi-Newton Algorithm For Sparsity-Aware Generalized Eigenvector Estimation. - Kengo Uchida; Isao Yamada (SSP, 2018)

Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance. - Masao Yamagishi; Isao Yamada (SSP, 2018)

Smoothing of adaptive eigenvector extraction in nested orthogonal complement structure with minimum disturbance principle. - Kenji Kakimoto; Masao Yamagishi; Isao Yamada (Multidimens. Syst. Signal Process., 2018)

Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEEE Trans. Signal Process., 2018)

Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ACC, 2019)

Adaptive Localized Cayley Parametrization Technique for Smooth optimization over the Stiefel Manifold. - Keita Kume; Isao Yamada (EUSIPCO, 2019)

Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (EUSIPCO, 2019)

Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function. - Jiro Abe; Masao Yamagishi; Isao Yamada (ICASSP, 2019)

An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization. - Riku Akema; Masao Yamagishi; Isao Yamada (ICASSP, 2019)

Hypercomplex Low Rank Matrix Completion with Non-negative Constraints via Convex Optimization. - Takehiko Mizoguchi; Isao Yamada (ICASSP, 2019)

Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition. - Jiro Abe; Masao Yamagishi; Isao Yamada (CoRR, 2019)

Hypercomplex Tensor Completion via Convex Optimization. - Takehiko Mizoguchi; Isao Yamada (IEEE Trans. Signal Process., 2019)

A Nesterov-type Acceleration with Adaptive Localized Cayley Parametrization for Optimization over the Stiefel Manifold. - Keita Kume; Isao Yamada (EUSIPCO, 2020)

Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization. - Riku Akema; Masao Yamagishi; Isao Yamada (ICASSP, 2020)

An ℓ1-penalized adaptive normalized quasi-newton algorithm for sparsity-aware generalized eigen-subspace tracking. - Kengo Uchida; Isao Yamada (J. Frankl. Inst., 2020)

DC-LiGME: An Efficient Algorithm for Improved Convex Sparse Regularization. - Yi Zhang 117; Isao Yamada (ACSCC, 2021)

A Hypercomplex Tensor-SVD and Its Application. - Takehiko Mizoguchi; Isao Yamada (APSIPA ASC, 2021)

A Generalized Moreau Enhancement of $ ell_{2, 1}$ -norm and Its Application to Group Sparse Classification. - Yang Chen; Masao Yamagishi; Isao Yamada (EUSIPCO, 2021)

A Graph Regularized RPCA by Generalized Moreau Enhanced Model. - Ryota Komatsu; Masao Yamagishi; Isao Yamada (EUSIPCO, 2021)

A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanisms Over Vector Spaces. - Keita Kume; Isao Yamada (ICASSP, 2021)

A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm. - Wataru Yata; Masao Yamagishi; Isao Yamada (MLSP, 2021)

A Linearly Involved Generalized Moreau Enhancement of ℓ2, 1-Norm with Application to Weighted Group Sparse Classification. - Yang Chen; Masao Yamagishi; Isao Yamada (Algorithms, 2021)

Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. - Riku Akema; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Stable Robust Regression under Sparse Outlier and Gaussian Noise. - Masahiro Yukawa; Kyohei Suzuki; Isao Yamada (EUSIPCO, 2022)

A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization. - Yi Zhang; Isao Yamada (EUSIPCO, 2022)

A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation. - Riku Akema; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

A Compensated Shrinkage Affine Projection Algorithm for Debiased Sparse Adaptive Filtering. - Yi Zhang 117; Isao Yamada (ICASSP, 2023)

Solution-Set Geometry and Regularization Path of a Nonconvexly Regularized Convex Sparse Model. - Yi Zhang; Isao Yamada (CoRR, 2023)

Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression. - Masahiro Yukawa; Hiroyuki Kaneko; Kyohei Suzuki; Isao Yamada (IEEE Trans. Signal Process., 2023)

A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models. - Yi Zhang 117; Isao Yamada (IEEE Trans. Signal Process., 2023)

A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models. - Yang Chen; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

A Discrete-Valued Signal Estimation by Nonconvex Enhancement of SOAV with cLiGME Model. - Satoshi Shoji; Wataru Yata; Keita Kume; Isao Yamada (APSIPA, 2024)

A Variable Smoothing for Nonconvexly Constrained Nonsmooth Optimization with Application to Sparse Spectral Clustering. - Keita Kume; Isao Yamada (ICASSP, 2024)

Imposing Early and Asymptotic Constraints on Ligme with Application to Nonconvex Enhancement of Fused Lasso Models. - Wataru Yata; Isao Yamada (ICASSP, 2024)

Computing an Entire Solution Path of a Nonconvexly Regularized Convex Sparse Model. - Yi Zhang 117; Isao Yamada (ICASSP, 2024)

Adaptive Localized Cayley Parametrization for Optimization Over Stiefel Manifold and Its Convergence Rate Analysis. - Keita Kume; Isao Yamada (IEEE Access, 2024)

A Proximal Variable Smoothing for Nonsmooth Minimization Involving Weakly Convex Composite with MIMO Application. - Keita Kume; Isao Yamada (ICASSP, 2025)

Hierarchical Nash Equilibrium over Variational Equilibria via Fixed-point Set Expression of Quasi-nonexpansive Operator. - Shota Matsuo; Keita Kume; Isao Yamada (ICASSP, 2025)