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...

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Bibliographic Details
Main Author: Li, Gang, (Author)
Format: eBook
Language: English
Published: London, United Kingdom : SciTech Publishing, 2020.
Subjects:
ISBN: 9781839530760
1839530766
9781839530753
1839530758
Physical Description: 1 online resource (viii, 254 pages) : illustrations

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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