000			01602nam a22002897a 4500
999			_c58596 _d58596
005			20211115144929.0
008			211115b ||||| |||| 00| 0 eng d
020			_a9788195196104
028			_a:Variety Books Publishers & Distributors _b:B-10 Street No 2 West Vinod Nagar Delhi 110092 _c:IM2892 _d:02/11/2021
082			_a621.3822 VID
100			_aVidyasagar, M
245			_aAn introduction to Compressed Sensing _c/ M Vidyasagar
260			_aNew Delhi _b:Hindustan Book Agency _c2020
300			_axi, 341p. _c24cm.
365			_b995
490			_aTexts and Reading In Mathematics 81
505			_a Mathematical preliminaries -- Compressed sensing : problem formulations -- Null space--based conditions -- Concepts from graph theory -- Deterministic construction of measurement matrices -- Probabilistic construction of measurement matrices -- Matrix recovery and completion -- Some recent approaches to vector recovery -- Optimization algorithms -- Case studies.
520			_aCompressed sensing is a relatively recent area of research that refers to the recovery of high-dimensional but low-complexity objects from a limited number of measurements. This book presents significant concepts never before discussed and new advances in the theory, providing an in-depth initiation to the field of compressed sensing
650			_aApplied physics
650			_aSignal processing.
650			_aLinear programming.
650			_aOptimization.
650			_aCombinatorics & graph theory.
650			_aMatrix completion
700			_aVidyasagar, M
942			_cMDL