Vidyasagar, M creator Vidyasagar, M text New Delhi :Hindustan Book Agency 2020 monographic eng

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xi, 341p. 24cm. Compressed 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 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. / M Vidyasagar Applied physics Signal processing Linear programming Optimization Combinatorics & graph theory Matrix completion 621.3822 VID 9788195196104 :Variety Books Publishers & Distributors :B-10 Street No 2 West Vinod Nagar Delhi 110092 211115 20211115144929.0