Iterative selection and correction based adaptive greedy algorithm for compressive sensing reconstruction

Iterative selection and correction based adaptive greedy algorithm for compressive sensing reconstruction

Compressive Sensing (CS) is a new sampling theory used in many signal processing applications due to its simplicity and efficiency. However, signal reconstruction is considered as one of the biggest challenge faced by the CS method. A lot of researches have been proposed to address this challenge, h...

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Bibliografische gegevens
Hoofdauteurs: Ahmed Aziz, Walid Osamy, Ahmed M. Khedr, Ahmed Salim
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2022-03-01
Reeks:Journal of King Saud University: Computer and Information Sciences
Onderwerpen:
Compressive Sensing
Forward-backward search
Sparse signal reconstruction
Greedy algorithms
Wireless sensor networks
Online toegang:http://www.sciencedirect.com/science/article/pii/S131915782030330X

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http://www.sciencedirect.com/science/article/pii/S131915782030330X

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