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Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem. In this paper, we present seven MATLAB functions for compressive sensing based time–frequency processing of sparse nonstationary signals. These functions are developed to reproduce figures in our companion review paper. Keywords: Compressive sensing, Time–frequency analysis, Nonstationary signals