Robust Time-Frequency Analysis Based on the L-Estimation and Compressive Sensing

被引：61
|
作者：
Stankovic, L. [1 ]
Stankovic, S. [1 ]
Orovic, I. [1 ]
Amin, Moeness G. [2 ]
机构：
[1] Univ Montenegro, Dept Elect Engn, Podgorica 81000, Montenegro
[2] Villanova Univ, Ctr Adv Commun, Villanova, PA 19085 USA
来源：
IEEE SIGNAL PROCESSING LETTERS | 2013年 / 20卷 / 05期
关键词：
Robust time-frequency distributions; L-estimation signal reconstruction; compressive sensing;
D O I：
10.1109/LSP.2013.2252899
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：
The L-estimate transforms and time-frequency representations are presented within the framework of compressive sensing. The goal is to recover signal or local auto-correlation function samples corrupted by impulse noise. The signal is assumed to be sparse in a transform domain or in a joint-variable representation. Unlike the standard L-statistics approach, which suffers from degraded spectral characteristics due to the omission of samples, the compressive sensing in combination with the L-estimate permits signal reconstruction that closely approximates the noise free signal representation.
引用
收藏
页码：499 / 502
页数：4
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