Spectrum-blind minimum-rate sampling and reconstruction of multiband signals

Ping Feng, Yoram Bresler

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose a universal sampling pattern and corresponding reconstruction algorithms that guarantee well-conditioned reconstruction of all multiband signals with a given spectral occupancy bound without prior knowledge of the spectral support. It is shown that such a universal sampling pattern can asymptotically achieve the Nyquist-Landau minimal sampling rate. Also, the new design method replaces the nonaliasing or packability criterion for a reconstructive sampling pattern with a more lenient criterion, allowing reconstruction of signals aliased by sampling.

Original languageEnglish (US)
Pages (from-to)1688-1691
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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