Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at sub-Nyquist acquisition rates. We develop new theory, algorithms, performance bounds, and a prototype implementation for an analog-to-information converter based on random demodulation. T...

Full description

Saved in:
Bibliographic Details
Main Authors: Laska, Jason N., Kirolos, Sami, Duarte, Marco F., Ragheb, Tamer S., Baraniuk, Richard G., Massoud, Yehia
Format: Conference Proceeding
Language:English
Subjects:
Circuits
Computer architecture
Demodulation
Prototypes
Sampling methods
Signal design
Signal processing algorithms
Signal sampling
Signal to noise ratio
Wideband
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The new theory of compressive sensing enables direct analog-to-information conversion of compressible signals at sub-Nyquist acquisition rates. We develop new theory, algorithms, performance bounds, and a prototype implementation for an analog-to-information converter based on random demodulation. The architecture is particularly apropos for wideband signals that are sparse in the time-frequency plane. End-to-end simulations of a complete transistor-level implementation prove the concept under the effect of circuit nonidealities.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2007.378360