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Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparseand compressible signals based on randomized dimensionality reduction. To recover a signal from itscompressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis orframe that agrees with the measurements. A great many applications feature smooth or modulated signalsthat are frequency sparse and can be modeled as a superposition of a small number of sinusoids.Unfortunately
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