Study on Signal Detection and Recovery Methods with Joint Sparsity

Gebonden Engels 2023 9789819941162
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9789819941162
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

Introduction.-&nbsp;Joint Sparse Signal Detection Based On Locally Most Powerful Test Under Gaussian Model.-&nbsp;Joint Sparse Signal Detection Based On Locally Most Powerful Test Under Generalized Gaussian Model.-&nbsp;Joint Sparse Signal Recovery Based On Look-Ahead Selection of Basis-Signals.-&nbsp;Joint Sparse Signal Recovery Based On Two-Level Sparsity.-&nbsp;Summary and Outlook. <div>&nbsp;</div>

Managementboek Top 100

Rubrieken

Populaire producten

    Personen

      Trefwoorden

        Study on Signal Detection and Recovery Methods with Joint Sparsity