Summary
International Conference on Emerging Technologies for Communications
2020
Session Number:G1
Session:
Number:G1-3
A Proposal for Sparse Deconvolution using ISTA with Low Computational Complexity
Masanori Gocho, Hiroyoshi Yamada,
pp.-
Publication Date:2020/12/2
Online ISSN:2188-5079
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Summary:
In this paper, we employ the ISTA (Iterative Shrinkage-Thresholding Algorithm), which is a sparse reconstruction method, to solve circular convolution problems. The proposed method not only can solve the convolution problem but also achieve low computational complexity.