Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
California Institute of Technology · Rice University · +2 more institutions
Abstract
Wideband analog signals push contemporary analog-to-digital conversion (ADC) systems to their performance limits. In many applications, however, sampling at the Nyquist rate is inefficient because the signals of interest contain only a small number of significant frequencies relative to the band limit, although the locations of the frequencies may not be known a priori. For this type of sparse signal, other sampling strategies are possible. This paper describes a new type of data acquisition system, called a random demodulator, that is constructed from robust, readily available components. Let K denote the total number of frequencies in the signal, and let W denote its band limit in hertz. Simulations suggest…
Citation impact
- FWCI
- 96.69
- Percentile
- 100%
- References
- 78
Authors
5Topics & keywords
- Nyquist rate
- Bandlimiting
- Demodulation
- Nyquist–Shannon sampling theorem
- Oversampling
- Sampling (signal processing)
- Wideband
- SIGNAL (programming language)