Abstract
In this paper, we successfully demonstrate the feasibility of hardware implementation of a sub-Nyquist random-sampling based analog to information converter (RS-AIC). The RS-AIC is based on the theory of information recovery from random samples using an efficient information recovery algorithm to compute the spectrogram of the signal. Our RS-AIC enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. Results from our RS-AIC hardware implementation demonstrate successful reconstruction of signals that are sampled at half the Nyquist-rate while maintaining up to a 51 dB signal-to-noise ratio (SNR), which is equivalent to an 8.5 bit resolution analog to digital converter.
Original language | English (US) |
---|---|
Title of host publication | 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 |
Pages | 1480-1483 |
Number of pages | 4 |
DOIs | |
State | Published - Sep 19 2008 |
Event | 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 - Seattle, WA, United States Duration: May 18 2008 → May 21 2008 |
Other
Other | 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 |
---|---|
Country/Territory | United States |
City | Seattle, WA |
Period | 5/18/08 → 5/21/08 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering