Advanced sparsity-driven models and methods for radar applications

The book has 9 chapters. The following topics are dealt with: Introduction; Hybrid greedy pursuit algorithms for enhancing radar imaging quality; Two-level block sparsity model for multichannel radar signals; Parametric sparse representation for radar imaging with model uncertainty; Poisson disk sam...

Full description

Saved in:
Bibliographic Details
Main Author Li, Gang (Author)
Format Electronic eBook
LanguageEnglish
Published London, United Kingdom : SciTech Publishing, 2020.
Subjects
Online AccessFull text
ISBN9781839530760
1839530766
9781839530753
1839530758
Physical Description1 online resource (viii, 254 pages) : illustrations

Cover

More Information
Summary:The book has 9 chapters. The following topics are dealt with: Introduction; Hybrid greedy pursuit algorithms for enhancing radar imaging quality; Two-level block sparsity model for multichannel radar signals; Parametric sparse representation for radar imaging with model uncertainty; Poisson disk sampling for high-resolution and wide-swath SAR imaging; When advanced sparse signal models meet coarsely quantized radar data; Sparsity aware micro-Doppler analysis for radar target classification; Distributed detection of sparse signals in radar networks via locally most powerful test; and Summary and perspectives.
Bibliography:Includes bibliographical references and index.
ISBN:9781839530760
1839530766
9781839530753
1839530758
Access:Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Physical Description:1 online resource (viii, 254 pages) : illustrations