A software companion for compressively sensed time-frequency processing of sparse nonstationary signals

被引：0
|
作者：
Sejdic, Ervin [1 ]
Orovic, Irena [2 ]
Stankovic, Srdjan [2 ]
机构：
[1] Univ Pittsburgh, Swanson Sch Engn, Dept Elect & Comp Engn, Pittsburgh, PA 15261 USA
[2] Univ Montenegro, Fac Elect Engn, Podgorica, Montenegro
来源：
SOFTWAREX | 2018年 / 8卷
基金：
美国国家卫生研究院;
关键词：
Compressive sensing; Time-frequency analysis; Nonstationary signals;
D O I：
10.1016/j.softx.2017.08.006
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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. (C) 2017 The Author(s). Published by Elsevier B.V.
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页码：9 / 10
页数：2
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