Study on Signal Detection and Recovery Methods with Joint Sparsity (Springer Theses)

Language: English

Published by Springer, 2024

9819941199 / 9789819941193

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Softcover

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Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The task of signal detection is deciding whether signals of interest exist by using their observed data. Furthermore, signals are reconstructed or their key parameters are estimated from the observations in the task of signal recovery. Sparsity is a natural characteristic of most of signals in practice. The fact that multiple sparse signals share the common locations of dominant coefficients is called by joint sparsity. In the context of signal processing, joint sparsity model results in higher performance of signal detection and recovery. This book focuses on the task of detecting and reconstructing signals with joint sparsity. The main contents include key methods for detection of joint sparse signals and their corresponding theoretical performance analysis, and methods for joint sparse signal recovery and their application in the context of radar imaging.

Title
Study on Signal Detection and Recovery Methods with Joint Sparsity (Springer Theses)
Author
Wang, Xueqian
Publisher
Springer
Publication year
2024
Condition
Hervorragend
Binding
Soft cover
Language
English
ISBN 10
9819941199
ISBN 13
9789819941193
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Buchpark

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