Turbo Message Passing Algorithms for Structured Signal Recovery / by Xiaojun Yuan, Zhipeng Xue.

Unlimited

Authorized users

Can lend chapters, not whole ebooks

Turbo Message Passing Algorithms for Structured Signal Recovery / by Xiaojun Yuan, Zhipeng Xue.

1st ed. 2020.

3030547620
9783030547622
3030547612
9783030547615

Cham : Springer International Publishing : Imprint: Springer, 2020.

English

1 online resource (XI, 105 pages) : illustrations.

10.1007/978-3-030-54762-2 doi

TK1-9971

621.382

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 passing Shows applications in areas such as wireless communications and computer vision.

Access limited to authorized users.

SpringerBriefs in computer science, 2191-5768

Online Resources > Ebooks
All Resources