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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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
2022
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| 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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