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Turbo Message Passing Algorithms for Structured Signal Recovery (SpringerBriefs in Computer Science) by Xiaojun Yuan, Zhipeng Xue is a nonfiction available to read on EtoBox.

What is Turbo Message Passing Algorithms for Structured Signal Recovery (SpringerBriefs in Computer Science) about?

This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered 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). The 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 the ARM 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. With this book, we wish to spur new researches on applying message passing to various inference problems. * Provides an in depth look into turbo message passing algorithms for structured signal recovery * Includes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message p

Who reads Turbo Message Passing Algorithms for Structured Signal Recovery (SpringerBriefs in Computer Science)?

Author

Xiaojun Yuan, Zhipeng Xue

Publisher

Springer International Publishing : Imprint: Springer

Published

2020

Language

EN

ISBN

9783030547615

Category

nonfiction

Subjects

Computer Science, Engineering, Stem