A prototype hardware for random demodulation based compressive analog-to-digital conversion

Tamer Ragheb, Jason N. Laska, Hamid Nejati, Sami Kirolos, Richard G. Baraniuk, Yehia Massoud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

68 Scopus citations


In this paper, we utilize recent advances in compressive sensing theory to enable signal acquisition beyond Nyquist sampling constraints. We successfully recover signals sampled at sub-Nyquist sampling rates by exploiting additional structure other than bandlimitedness. We present a working prototype of compressive analog-to-digital converter (CADC) based on a random demodulation architecture. The architecture is particularly suitable for wideband signals that are sparse in the time-frequency plane. CADC has the advantage of enhancing the performance of communication and multimedia systems by increasing the transmission rate for the same bandwidth. We report successful reconstruction of AM modulated signals at sampling rates down to 1/8 of the Nyquist-rate, which represents an up to 87.5% savings in the bandwidth and the storage memory. ©2008 IEEE.
Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
Number of pages4
StatePublished - Oct 27 2008
Externally publishedYes

Bibliographical note

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