Thresholding based Stochastic Robust Algorithm for Distributed Compressed Sensing

In this paper, we first present a stochastic gradient based robust algorithm for recovering a sparse signal from compressed measurements corrupted by impulsive noise for large problems where calculation of the full gradient is expensive. This stochastic gradient based strategy is then modified and a...

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Bibliographic Details

Published in:	IEEE International Symposium on Circuits and Systems proceedings pp. 1 - 5
Main Authors:	Bapat, Ketan Atul, Chakraborty, Mrityunjoy
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.05.2023
Subjects:	Distributed compressive sensing Impulsive noise Lorentzian norm Sparse recovery Stochastic Gradient Descent
ISSN:	2158-1525
Online Access:	Get full text
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