A Software Tool for Compressive Sensing based Time-Frequency Analysis

被引：0
|
作者：
Draganic, Andjela [1 ]
Brajovic, Milos [1 ]
Orovic, Irena [1 ]
Stankovic, Srdjan [1 ]
机构：
[1] Univ Montenegro, Fac Elect Engn, Podgorica 81000, Montenegro
来源：
PROCEEDINGS OF ELMAR-2015 57TH INTERNATIONAL SYMPOSIUM ELMAR-2015 | 2015年
关键词：
Compressive Sensing; Complex-time Distribution; Ambiguity Domain; Instantaneous Frequency estimation; Sparse Representation; SENSED SIGNALS; DISTRIBUTIONS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A software tool that implements Compressive sensing based time-frequency analysis and performs instantaneous frequency estimation, is proposed and described in the paper. A focus is made on the signals with fast varying instantaneous frequency (IF), which can be accurately estimated using complex-time distribution. Therefore, the proposed tool offers different possibilities to adjust parameters of complex-lag distributions in order to comply with fast-varying IF laws. Moreover, beside the standard implementation based on the full set of samples, a compressive sensing based time-frequency approach is included in order to obtain sparse time-frequency representation. Sparse time-frequency representation is reconstructed from very few ambiguity domain observations. The tool performance is tested on real and synthetic signals.
引用
收藏
页码：45 / 48
页数：4
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