Compressed sensing: theory and applications / edited by Yonina C. Eldar, Gitta Kutyniok.
Publisher: Cambridge ; New York : Cambridge University Press, 2012Description: xii, 544 p. : ill. ; 26 cmISBN: 9781107005587Subject(s): Signal processing | Wavelets (Mathematics)DDC classification: 621.3822,COM Online resources: Contributor biographical information | Cover image | Publisher description | Table of contents only| Item type | Current location | Home library | Shelving location | Call number | URL | Status | Notes | Date due | Barcode | Item holds |
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Reference
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Military College of Signals (MCS) | Military College of Signals (MCS) | Reference | 621.3822,COM (Browse shelf) | Link to resource | Not for loan | Almirah No.22, Shelf No.3 | MCS37001 |
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Introduction to compressed sensing (Page-1), Second generation sparse modeling: structured and collaborative signal analysis (Page-65), Xampling: compressed sensing of analog signals (Page-88), Sampling at the rate of innovation: theory and applications (Page-148), Introduction to the non-asymptotic analysis of random matrices (Page-210), Adaptive sensing for sparse recovery (Page-269), Fundamental thresholds in compressed sensing: a high-dimensional geometry approach (Page-305), Greedy algorithms for compressed sensing (Page-348), Graphical models concepts in compressed sensing (Page-394), Finding needles in compressed haystacks (Page-439), Data separation by sparse representations (Page-485), Face recognition by sparse representation (Page-515),
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