A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

A novel quantum calculus-based complex least mean square algorithm (q-CLMS)

The Least Mean Square (LMS) algorithm has a slow convergence rate as it is dependent on the eigenvalue spread of the input correlation matrix. In this research, we solved this problem by introducing a novel adaptive filtering algorithm for complex domain signal processing based on q-derivative. The...

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Bibliographic Details
Main Authors: Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M.
Format: Article
Published: 2022
Online Access:http://scholars.utp.edu.my/id/eprint/33954/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129087312&doi=10.1007%2fs10489-022-03514-3&partnerID=40&md5=474668d0eae78cf221a81ab8ccef95e3
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Institution: Universiti Teknologi Petronas

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http://scholars.utp.edu.my/id/eprint/33954/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129087312&doi=10.1007%2fs10489-022-03514-3&partnerID=40&md5=474668d0eae78cf221a81ab8ccef95e3

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