Sparse signal analysis, recovery and representation
نویسنده
چکیده
Compressed sensing appears as a framework to solve underdetermined linear systems, or efficiently acquire sparse signals. Assuming sparsity in a certain given basis of either the signal or its approximation, the recovery can be completed from a few linear measurements. The problem here is not to find an adequate basis but to find the few non-zeros entries of a high-dimensional signal in this particular one.
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