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

页码：499 / 502

页数：4

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