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...
| Main Authors: | Sadiq, A., Naseem, I., Khan, S., Moinuddin, M., Togneri, R., Bennamoun, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33241 / |
| Published: |
Springer
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129087312&doi=10.1007%2fs10489-022-03514-3&partnerID=40&md5=474668d0eae78cf221a81ab8ccef95e3 http://eprints.utp.edu.my/33241/ |
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