GWRA: grey wolf based reconstruction algorithm for compressive sensing signals

GWRA: grey wolf based reconstruction algorithm for compressive sensing signals

The recent advances in compressive sensing (CS) based solutions make it a promising technique for signal acquisition, image processing and other types of data compression needs. In CS, the most challenging problem is to design an accurate and efficient algorithm for reconstructing the original data....

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Bibliographic Details
Main Authors: Ahmed Aziz, Karan Singh, Ahmed Elsawy, Walid Osamy, Ahmed M. Khedr
Format: Article
Language:English
Published: PeerJ Inc. 2019-09-01
Series:PeerJ Computer Science
Subjects:
Average normalized mean squared error
Compressive sensing
Greedy-based reconstruction algorithm
Grey wolf optimizer
Mean absolute percentage error
Reconstruction algorithms
Online Access:https://peerj.com/articles/cs-217.pdf

Internet

https://peerj.com/articles/cs-217.pdf

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