<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Jason N. Laska, Sami KIrolos, Marco F. Duarte, Tamer S. Ragheb, Richard G. Baraniuk, Yehia Massoud</AUTHOR>
	</AUTHORS>
	<YEAR>2007</YEAR>
	<TITLE>Theory and Implementation of an Analog-to-Information Converter using Random Demodulation</TITLE>
	<SECONDARY_TITLE>IEEE Symposium on Circuits and Systems</SECONDARY_TITLE>
	<ABSTRACT> 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. 
</ABSTRACT>
	<URL>http://www.ece.rice.edu/~jnl5066/papers/ISCAS_randmod.pdf</URL>
</RECORD>
</RECORDS></XML>