Sparse signal recovery with side information

The paper proposes an algorithm for signal recovery with side information. It is assumed that the decoder has a priori knowledge about the sparse source signal in the form of side information, that can be used to estimate positions of significant elements in the source. The proposed iterative algori...

Full description

Saved in:
Bibliographic Details
Published in2009 17th European Signal Processing Conference : 24-28 August 2009 pp. 100 - 104
Main Authors Stankovic, Vladimir, Stankovic, Lina, Cheng, Samuel
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Abstracts
Algorithms
Correlation
Decoders
Estimates
Image acquisition
Recovery
Sampling
Signal processing
Online AccessGet full text
ISBN9781617388767
1617388769

Cover

More Information
Summary:The paper proposes an algorithm for signal recovery with side information. It is assumed that the decoder has a priori knowledge about the sparse source signal in the form of side information, that can be used to estimate positions of significant elements in the source. The proposed iterative algorithm extends the orthogonal matching pursuit (OMP) algorithm used in compressive sampling, and is robust to partially noisy side information. Thus it is suitable for scenarios whereby a correlated source is available at the decoder. We apply the algorithm to spectrum sensing and image acquisition, and show great advantages of the proposed solution, compared to OMP (no side information) in terms of improved performance and reduced execution time.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISBN:9781617388767
1617388769