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We examine nonstationary signals within the framework of compressive sensing and sparse reconstruction. Most of these signals, which arise in numerous applications, exhibit small relative occupancy in the time–frequency domain, casting them as sparse in a joint-variable representation. We present two general approaches to incorporate sparsity into time–frequency analysis, leading to what we refer...
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