Performance of IRLS algorithm in compressive sensing

Authors:
M. Chakraborty;R. Nath
Affiliations:
National Institute of Technology, Hamirpur, Himachal Pradesh, India;National Institute of Technology, Hamirpur, Himachal Pradesh, India
Venue:
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Year:
2011

Citing 4
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Abstract

In this paper, a method for sparse signal recovery, based on iteratively reweighted least square approach using fewer measurements has been studied. Simulation results demonstrating the performance of the algorithm for different SNRs ranges, number of measurements, degree of sparsity, and various values of degree of normalization p have been presented. Results show that improvement is achieved by incorporating regularization strategy.