Coping with saturating projection stages in RMPI-based Compressive Sensing

Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti; Giovanni Frattini

doi:10.1109/ISCAS.2012.6271893

Coping with saturating projection stages in RMPI-based Compressive Sensing

Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, Giovanni Frattini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Though compressive sensing hinges on extracting linear measurements from the signals to acquire, actual implementations introduce nonlinearities whose effect can be far from negligible. We here address the problem of saturation in the circuit blocks needed by a Random Modulation Pre-Integration architecture. © 2012 IEEE.

Original language	English (US)
Title of host publication	ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
Pages	2805-2808
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2012.6271893
State	Published - Sep 28 2012
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2023-02-15

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10.1109/ISCAS.2012.6271893

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title = "Coping with saturating projection stages in RMPI-based Compressive Sensing",

abstract = "Though compressive sensing hinges on extracting linear measurements from the signals to acquire, actual implementations introduce nonlinearities whose effect can be far from negligible. We here address the problem of saturation in the circuit blocks needed by a Random Modulation Pre-Integration architecture. {\textcopyright} 2012 IEEE.",

author = "Mauro Mangia and Fabio Pareschi and Riccardo Rovatti and Gianluca Setti and Giovanni Frattini",

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AU - Mangia, Mauro

AU - Pareschi, Fabio

AU - Rovatti, Riccardo

AU - Setti, Gianluca

AU - Frattini, Giovanni

N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15

PY - 2012/9/28

Y1 - 2012/9/28

N2 - Though compressive sensing hinges on extracting linear measurements from the signals to acquire, actual implementations introduce nonlinearities whose effect can be far from negligible. We here address the problem of saturation in the circuit blocks needed by a Random Modulation Pre-Integration architecture. © 2012 IEEE.

AB - Though compressive sensing hinges on extracting linear measurements from the signals to acquire, actual implementations introduce nonlinearities whose effect can be far from negligible. We here address the problem of saturation in the circuit blocks needed by a Random Modulation Pre-Integration architecture. © 2012 IEEE.

UR - http://ieeexplore.ieee.org/document/6271893/

UR - http://www.scopus.com/inward/record.url?scp=84866598072&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2012.6271893

DO - 10.1109/ISCAS.2012.6271893

M3 - Conference contribution

SP - 2805

EP - 2808

BT - ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems

ER -

Coping with saturating projection stages in RMPI-based Compressive Sensing

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