An Iterative Reweighted Least Squares Algorithm with Finite Series Approximation for a Sparse Signal Recovery

作者:Uruma Kazunori*; Konishi Katsumi; Takahashi Tomohiro; Furukawa Toshihiro
来源:IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D(2): 319-322.
DOI:10.1587/transinf.E97.D.319

摘要

This letter deals with a sparse signal recovery problem and proposes a new algorithm based on the iterative reweighted least squares (IRLS) algorithm. We assume that the non-zero values of a sparse signal is always greater than a given constant and modify the IRLS algorithm to satisfy this assumption. Numerical results show that the proposed algorithm recovers a sparse vector efficiently.

  • 出版日期2014-2

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