A sparsity-perspective to quadratic time–frequency distributions

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 tw...

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Journal Title: Digital Signal Processing: A Review Journal Vol. 46; pp. 175 - 190
Authors: Moeness Amin, Fauzia Ahmad, Yimin D. Zhang, Branka Jokanovic
Format: Article
Language: English
Published: Nov 2015
College of Arts and Sciences College of Engineering