TY - EJOUR
DO - 10.1186/1687-6180-2012-6
AB - We advocate a compressed sensing strategy that consists of multiplying the signal of interest by a wide bandwidth modulation before projection onto randomly selected vectors of an orthonormal basis. Firstly, in a digital setting with random modulation, considering a whole class of sensing bases including the Fourier basis, we prove that the technique is \emph{universal} in the sense that the required number of measurements for accurate recovery is optimal and independent of the sparsity basis. This universality stems from a drastic decrease of coherence between the sparsity and the sensing bases, which for a Fourier sensing basis relates to a spread of the original signal spectrum by the modulation (hence the name ``spread spectrum''). The approach is also \emph{efficient} as sensing matrices with fast matrix multiplication algorithms can be used, in particular in the case of Fourier measurements. Secondly, these results are confirmed by a numerical analysis of the phase transition of the $\ell_1$-minimization problem. Finally, we show that the spread spectrum technique remains effective in an analog setting with chirp modulation for application to realistic Fourier imaging. We illustrate these findings in the context of radio interferometry.
T1 - Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques
IS - 6
DA - 2012
AU - Puy, Gilles
AU - Vandergheynst, Pierre
AU - Gribonval, RĂ©mi
AU - Wiaux, Yves
JF - EURASIP Journal on Advances in Signal Processing
VL - 2012
PB - Institute of Electrical and Electronics Engineers
ID - 163850
KW - Compressed sensing
KW - Spread spectrum
KW - LTS2
KW - LTS5
KW - CIBM-SP
KW - CIBM-AIT
UR - http://infoscience.epfl.ch/record/163850/files/EURASIP-Spread_spectrum.pdf
ER -