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...

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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
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cited_by cdi_FETCH-LOGICAL-c289t-565cccce001ed5d927f3ac47a80cb61e6656e703b7fe7d9fe4a7e4be444ac9e63
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container_end_page 1962
container_issue
container_start_page 1959
container_title
container_volume
creator Laska, Jason N.
Kirolos, Sami
Duarte, Marco F.
Ragheb, Tamer S.
Baraniuk, Richard G.
Massoud, Yehia
description 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.
doi_str_mv 10.1109/ISCAS.2007.378360
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subjects Circuits
Computer architecture
Demodulation
Prototypes
Sampling methods
Signal design
Signal processing algorithms
Signal sampling
Signal to noise ratio
Wideband
title Theory and Implementation of an Analog-to-Information Converter using Random Demodulation
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