In this work we combing two novelty in the area of Analog Information Converter based on Compressed Sensing. A new architecture, the Spread Spectrum Random Modulation PreIntegration and a new design flow, the rakeness based design of a Compressed Sensing system. We demonstrate that combining these approaches produces a strong reduction of the internal chipping frequency in the sensing coupled with a high compression ratio with respect to standard Analog to Digital Converter.

Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture / Mangia, M.; Rovatti, R.; Setti, G.; Vandergheynst, P.. - STAMPA. - (2014), pp. 4146-4150. ((Intervento presentato al convegno 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 tenutosi a Florence, ita nel 2014 [10.1109/ICASSP.2014.6854382].

Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture

Setti G.;
2014

Abstract

In this work we combing two novelty in the area of Analog Information Converter based on Compressed Sensing. A new architecture, the Spread Spectrum Random Modulation PreIntegration and a new design flow, the rakeness based design of a Compressed Sensing system. We demonstrate that combining these approaches produces a strong reduction of the internal chipping frequency in the sensing coupled with a high compression ratio with respect to standard Analog to Digital Converter.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2696713
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