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Turbo Message Passing Algorithms for Structured Signal Recovery
Engelsk Paperback
Turbo Message Passing Algorithms for Structured Signal Recovery
Engelsk Paperback

573 kr
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Om denne bog

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

Product detaljer
Sprog:
Engelsk
Sider:
105
ISBN-13:
9783030547615
Indbinding:
Paperback
Udgave:
ISBN-10:
3030547612
Kategori:
Udg. Dato:
14 okt 2020
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
14 okt 2020
Forfatter(e):
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