A software companion for compressively sensed time–frequency processing of sparse nonstationary signals
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 nonstationa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-07-01
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| Series: | SoftwareX |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711017300365 |