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Research on the applications of compressed sensing has been mainly directed towards sub-Nyquist acquisition of a sparse signal followed by reconstruction, using different recovery algorithms, to get the original signal. In this paper, we present a scheme of compressed acquisition of a set of sparse signals and subsequent reconstruction of the signals at an effective sampling rate which is a multiple...
It is possible to sample signals at sub-Nyquist rate and still be able to reconstruct them with reasonable accuracy provided they exhibit local Fourier sparsity. Underdetermined systems of equations, which arise out of undersampling, have been solved to yield sparse solutions using compressed sensing algorithms. In this paper, we propose a framework for real time sampling of multiple analog channels...
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