Sparse representations and compressive sensing for imaging and vision

Sparse representations and compressive sensing for imaging and vision

by Patel, Vishal M.

Type Book
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Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highli…

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Title Statements

  • Full title :Sparse representations and compressive sensing for imaging and vision / Vishal M. Patel, Rama Chellappa.

Summary

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing.

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Edition Statements

  • Publication Date:2013

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:New York
  • Language:eng
  • Publication Date:2013

The Physical Object

  • Description:x, 102 pages : : illustrations ; : 24 cm.

Edition Identifiers

  • ISBN:1461463807, 9781461463801
  • oclc:ocn821217431
  • LC Classification:TK5102.9
  • Dewey Decimal:621.382

Subjects

Computer vision -- Mathematics Signal processing -- Digital techniques Traitement du signal -- Techniques numé… Vision par ordinateur -- Mathématiques

Writers

Patel, Vishal M. Chellappa, Rama

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