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TURBO MESSAGE PASSING ALGORITHMS FOR STRUCTURED SIGNAL RECOV IBD

XIAOJUN YUAN / ZHIPENG XUE
SPRINGER
10 / 2020
9783030547615
Inglés

Sinopsis

This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where theáconsidered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds to the robust principal component analysis (RPCA) problem).áThe book is divided into three parts. First, the authors introduce a turbo message passing algorithm termed denoising-based Turbo-CS (D-Turbo-CS). Second, the authors introduce a turbo message passing (TMP) algorithm for solving theáARM problem. Third, the authors introduce a TMP algorithm for solving the RPCA problem which aims to recover a low-rank matrix and a sparse matrix from their compressed mixture.áWith this book, we wish to spur new researches on applying message passing to various inference problems.áProvides an in depth look into turbo message passing algorithms for structured signal recoveryIncludes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passingShows applications in areas such as wireless communications and computer vision

PVP
80,36€