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OverviewFull Product DetailsAuthor: Gang Li (Professor, Tsinghua University, Department of Electronic Engineering, China)Publisher: Institution of Engineering and Technology Imprint: Institution of Engineering and Technology Dimensions: Width: 15.60cm , Height: 1.80cm , Length: 23.40cm Weight: 0.590kg ISBN: 9781839530753ISBN 10: 1839530758 Pages: 272 Publication Date: 28 January 2021 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsChapter 1: Introduction Chapter 2: Hybrid greedy pursuit algorithms for enhancing radar imaging quality Chapter 3: Two-level block sparsity model for multichannel radar signals Chapter 4: Parametric sparse representation for radar imaging with model uncertainty Chapter 5: Poisson disk sampling for high-resolution and wide-swath SAR imaging Chapter 6: When advanced sparse signal models meet coarsely quantized radar data Chapter 7: Sparsity aware micro-Doppler analysis for radar target classification Chapter 8: Distributed detection of sparse signals in radar networks via locally most powerful test Chapter 9: Summary and perspectivesReviewsAuthor InformationGang Li is a Professor at the Department of Electronic Engineering, Tsinghua University, China. His research interests include radar signal processing, remote sensing, distributed signal processing, and information fusion. He has published over 150 papers on these subjects. He is a recipient of the National Science Fund for Distinguished Young Scholars of China and the Royal Society Newton Advanced Fellowship of United Kingdom. He is a Senior Member of the IEEE. Tab Content 6Author Website:Countries AvailableAll regions |
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