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

页码：45 / 48

页数：4