articleIEEE Signal Processing MagazineJul 1, 2007Closed access

Compressive Sensing [Lecture Notes]

Rice University

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Abstract

This lecture note presents a new method to capture and represent compressible signals at a rate significantly below the Nyquist rate. This method, called compressive sensing, employs nonadaptive linear projections that preserve the structure of the signal; the signal is then reconstructed from these projections using an optimization process.

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Topics & keywords

Keywords
  • Compressed sensing
  • Nyquist rate
  • Computer science
  • SIGNAL (programming language)
  • Signal reconstruction
  • Process (computing)
  • Nyquist–Shannon sampling theorem
  • Algorithm
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