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 subNyquist acquisition rates. We develop new theory, algorithms, performance bounds, and a prototype implementation for an analogto-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.

• Type: Conference
• Year: 2007
• Where: ISCAS
• Authors: Jason N. Laska, Sami Kirolos, Marco F. Duarte, Tamer Ragheb, Richard G. Baraniuk, Yehia Massoud
• Keywords: Compressible Signals, Compressive Sensing Enables, Direct Analog-to-information Conversion, ISCAS 2007