Abstract
We develop a framework for analog-to-information conversion based on the theory of information recovery from random samples. The framework enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. We present the random sampling theory associated with an efficient information recovery algorithm to compute the spectrogram of the signal. Additionally, we develop a hardware design for the random sampling system that demonstrates a consistent reconstruction fidelity in the presence of sampling jitter, which forms the main source of non-ideality in a practical system implementation.
Original language | English (US) |
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Title of host publication | 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference Proceedings |
Pages | 325-328 |
Number of pages | 4 |
DOIs | |
State | Published - Dec 1 2007 |
Event | 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference - Montreal, QC, Canada Duration: Aug 5 2007 → Aug 8 2007 |
Other
Other | 2007 50th Midwest Symposium on Circuits and Systems, MWSCAS - Conference |
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Country/Territory | Canada |
City | Montreal, QC |
Period | 8/5/07 → 8/8/07 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering