COMPRESSIVE SENSING: ANALYSIS OF SIGNALS IN RADIO ASTRONOMY

被引：0

作者：

Gaigals, G. ^{[1
]}

Greitans, M. ^{[2
]}

Andziulis, A. ^{[3
]}

机构：

[1] Ventspils Univ Coll, Engn Res Inst Ventspils Int Radio Astron Ctr, LV-3601 Ventspils, Latvia

[2] Inst Elect & Comp Sci, LV-1006 Riga, Latvia

[3] Klaipeda Univ, LT-92294 Klaipeda, Lithuania

来源：

BALTIC ASTRONOMY | 2013年 / 22卷 / 04期

关键词：

methods: radio astronomy signals: compressive sensing; sparsity; filtering; RECOVERY;

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The compressive sensing (CS) theory says that for some kind of signals there is no need to keep or transfer all the data acquired accordingly to the Nyquist criterion. In this work we investigate if the CS approach is applicable for recording and analysis of radio astronomy (RA) signals. Since CS methods are applicable for the signals with sparse (and compressible) representations, the compressibility of RA signals is verified. As a result, we identify which RA signals can be processed using CS, find the parameters which can improve or degrade CS application to RA results, describe the optimum way how to perform signal filtering in CS applications. Also, a range of virtual LabVIEW instruments are created for the signal analysis with the CS theory.

引用

页码：347 / 361

页数：15

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