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. © 2014 IEEE.
Mangia, M., Rovatti, R., Setti, G., Vandergheynst, P. (2014). Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture. Institute of Electrical and Electronics Engineers Inc. [10.1109/ICASSP.2014.6854382].
Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture
MANGIA, MAURO;ROVATTI, RICCARDO;
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. © 2014 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
