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Reconstruction of Compressive Sensing Signal Using Orthogonal Matching Pursuit Algorithm

Author(s):

Javed Ansari , MITS,GWALIOR; Madhav Singh, MITS,GWALIOR

Keywords:

CS, OMP, BP,ADC

Abstract

This paper represents the reconstruction of sampled signal in CS by using OMP algorithm. We have used the concept of compressive sensing for sub Nyquist sampling of sparse signal. Compressive sensing reconstruction methods have complex algorithms of l1 optimisation to reconstruct a signal sampled at sub nyquist rate. But out of those algorithm OMP algorithm is fast and computationally efficient. To prove the concept of CS implementation, we have simulated OMP algorithm for recovery of sparse signal of length 256 with sparsity 8.

Other Details

Paper ID: IJSRDV3I90008
Published in: Volume : 3, Issue : 9
Publication Date: 01/12/2015
Page(s): 1126-1128

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