(Publisher of Peer Reviewed Open Access Journals)

International Journal of Advanced Computer Research (IJACR)

ISSN (Print):2249-7277    ISSN (Online):2277-7970
Volume-5 Issue-18 March-2015
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Paper Title : Compressed Sensing Reconstruction of an Audio signal using OMP
Author Name : Shwetha A. Gangannawar and Saroja V. Siddmal
Abstract :

Compressive sensing (CS) is an evolving technique for data acquisition that promises sampling a sparse signal from a far fewer measurements than its dimension. Compressive sensing enables a potentially large reduction in the sampling and computation cost for sensing signals that have sparse representation. The signal having sparse representation can be recovered from small set of linear, non-adaptive measurements. This paper mainly focuses on fixing threshold value for proper reconstruction of an audio signal. An audio signal is better reconstructed for the threshold value between (-0.02 to +0.02). Various performance parameters are measured which describe exact reconstruction of the signal. For proper reconstruction Orthogonal Matching Pursuit algorithm is used.

Keywords : Compressive sensing, sparsity, measurement matrix and OMP.
Cite this article : Shwetha A. Gangannawar and Saroja V. Siddmal, " Compressed Sensing Reconstruction of an Audio signal using OMP " , International Journal of Advanced Computer Research (IJACR), Volume-5, Issue-18, March-2015 ,pp.75-79.