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An introduction to Compressed Sensing / M Vidyasagar

By: Contributor(s): Material type: TextTextPublisher number: :Variety Books Publishers & Distributors | :B-10 Street No 2 West Vinod Nagar Delhi 110092 Series: Texts and Reading In Mathematics 81Publication details: New Delhi :Hindustan Book Agency 2020Description: xi, 341p. 24cmISBN:
  • 9788195196104
Subject(s): DDC classification:
  • 621.3822 VID
Contents:
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.
Summary: 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
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Holdings
Item type Current library Call number Status Notes Barcode
Mathematics Departmental Library Mathematics Departmental Library SNU LIBRARY 621.3822 VID (Browse shelf(Opens below)) Available FPDA Grant M265
Total holds: 0

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.

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

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