Study on Signal Detection and Recovery Methods with Joint Sparsity
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.
1143568814
Study on Signal Detection and Recovery Methods with Joint Sparsity
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.
169.99
Out Of Stock
5
1
Study on Signal Detection and Recovery Methods with Joint Sparsity
121
Study on Signal Detection and Recovery Methods with Joint Sparsity
121Related collections and offers
169.99
Out Of Stock
Product Details
| ISBN-13: | 9789819941162 |
|---|---|
| Publisher: | Springer Nature Singapore |
| Publication date: | 09/30/2023 |
| Series: | Springer Theses |
| Edition description: | 2024 |
| Pages: | 121 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
About the Author
From the B&N Reads Blog