Computer Science – Information Theory
Scientific paper
2009-01-26
Proc. of IEEEI, 25th convention, pp. 290-294, Dec. 2008
Computer Science
Information Theory
13 pages, 5 figs, conference paper (see ref. below)
Scientific paper
Periodic nonuniform sampling is a known method to sample spectrally sparse signals below the Nyquist rate. This strategy relies on the implicit assumption that the individual samplers are exposed to the entire frequency range. This assumption becomes impractical for wideband sparse signals. The current paper proposes an alternative sampling stage that does not require a full-band front end. Instead, signals are captured with an analog front end that consists of a bank of multipliers and lowpass filters whose cutoff is much lower than the Nyquist rate. The problem of recovering the original signal from the low-rate samples can be studied within the framework of compressive sampling. An appropriate parameter selection ensures that the samples uniquely determine the analog input. Moreover, the analog input can be stably reconstructed with digital algorithms. Numerical experiments support the theoretical analysis.
Eldar Yonina C.
Mishali Moshe
Tropp Joel A.
No associations
LandOfFree
Efficient Sampling of Sparse Wideband Analog Signals does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Efficient Sampling of Sparse Wideband Analog Signals, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficient Sampling of Sparse Wideband Analog Signals will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-371779