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Conference Papers Year : 2009

Sparse representations versus the matched filter


We have considered the problem of detection and estimation of compact sources immersed in a background plus instrumental noise. Sparse approximation to signals deals with the problem of finding a representation of a signal as a linear combination of a small number of elements from a set of signals called dictionary. The estimation of the signal leads to a minimization problem for the amplitude associated to the sources. We have developed a methodology that minimizes the lp-norm with a constraint on the goodness-of-fit and we have compared different norms against the matched filter.
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inria-00369604 , version 1 (20-03-2009)


  • HAL Id : inria-00369604 , version 1


F. Martinelli, J.L. Sanz. Sparse representations versus the matched filter. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France. ⟨inria-00369604⟩


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