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 (1957) 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.
Keywords
Nyquist–Shannon sampling theoremSampling (signal processing)Signal reconstructionNyquist rateNonuniform samplingComputer scienceAlgorithmMathematicsNyquist stability criterionNyquist frequencyArtificial intelligencePattern recognition (psychology)Signal processingComputer visionStatisticsTelecommunicationsFilter (signal processing)
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Publication Info
- Year
- 2002
- Type
- article
- Volume
- 3
- Pages
- 1688-1691
- Citations
- 278
- Access
- Closed
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Cite This
Ping Feng,
Yoram Bresler
(2002).
Spectrum-blind minimum-rate sampling and reconstruction of multiband signals.
, 3
, 1688-1691.
https://doi.org/10.1109/icassp.1996.544131
Identifiers
- DOI
- 10.1109/icassp.1996.544131