TY - GEN
T1 - Correlation tuning in compressive sensing based on rakeness: A case study
AU - Bertoni, Nicola
AU - Mangia, Mauro
AU - Pareschi, Fabio
AU - Rovatti, Riccardo
AU - Setti, Gianluca
N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15
PY - 2013/1/1
Y1 - 2013/1/1
N2 - In this paper we take into account the rakeness approach in the design of Compressed Sensing (CS) based system, which allows, by means of the matching of some statistical properties of the CS sampling functions with statistical features of the input signal, to greatly increase system performance in terms of either a reduction of resources (hardware, energy, etc) required for the signal acquisition or an increase in the acquisition quality. In particular, with respect to the general formulation, we make two additional and non-restrictive hypotheses to ensure a good behavior of the system. With these, we can compute an upper and a lower bound for the parameter r used to control the statistical matching level, and we show with some numerical examples that the choice of r is not critical. In particular, any r value taken from the computed interval ensures almost optimal performance, making the rakeness approach robust and worthwhile. © 2013 IEEE.
AB - In this paper we take into account the rakeness approach in the design of Compressed Sensing (CS) based system, which allows, by means of the matching of some statistical properties of the CS sampling functions with statistical features of the input signal, to greatly increase system performance in terms of either a reduction of resources (hardware, energy, etc) required for the signal acquisition or an increase in the acquisition quality. In particular, with respect to the general formulation, we make two additional and non-restrictive hypotheses to ensure a good behavior of the system. With these, we can compute an upper and a lower bound for the parameter r used to control the statistical matching level, and we show with some numerical examples that the choice of r is not critical. In particular, any r value taken from the computed interval ensures almost optimal performance, making the rakeness approach robust and worthwhile. © 2013 IEEE.
UR - http://ieeexplore.ieee.org/document/6815403/
UR - http://www.scopus.com/inward/record.url?scp=84901463460&partnerID=8YFLogxK
U2 - 10.1109/ICECS.2013.6815403
DO - 10.1109/ICECS.2013.6815403
M3 - Conference contribution
SN - 9781479924523
SP - 257
EP - 260
BT - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
ER -