RADS converter: An approach to Analog to Information conversion

Javier Haboba, Riccardo Rovatti, Gianluca Setti

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

1 Scopus citations


While classical compressive sensing aims to reduce the number of measurements with respect to Nyquist-based sampling methods, it is usually important to consider the total number of bits needed to represent this small amount of measurements in order to maintain the same signal quality. In this paper we study an architecture for signal acquisition that produces a stream of 1-bit measurements, and we show that a proper exploitation of its features, as well as of the sparse representation of the input signal can result in an extremely high reconstruction accuracy with a total number of bits much smaller than classical sampling. © 2012 IEEE.
Original languageEnglish (US)
Title of host publication2012 19th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2012
Number of pages4
StatePublished - Dec 1 2012
Externally publishedYes

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