Sparse Random Approximation and Lossy Compression (1105.4936v1)

Published 25 May 2011 in physics.data-an and cs.CR

Abstract: We discuss a method for sparse signal approximation, which is based on the correlation of the target signal with a pseudo-random signal, and uses a modification of the greedy matching pursuit algorithm. We show that this approach provides an efficient encoding-decoding method, which can be used also for lossy compression and encryption purposes.

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Authors (1)

M. Andrecut

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