Randomization of data acquisition and l1-optimization (recognition with compression)

  • Authors:
  • O. N. Granichin;D. V. Pavlenko

  • Affiliations:
  • St. Petersburg State University, St. Petersburg, Russia;St. Petersburg State University, St. Petersburg, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2010

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Abstract

A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and l1-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.