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Article
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 ad...
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Chapter and Conference Paper
q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm
Herein, we a new class of stochastic gradient algorithm for identification. The proposed q-least mean fourth (q-LMF) is extension of the least mean fourth (LMF) and it is based on the q-calculus which is ...
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Article
Enhanced q-least Mean Square
In this work, a new class of stochastic gradient algorithm is developed based on q-calculus. Unlike the existing q-LMS algorithm, the proposed approach fully utilizes the concept of q-calculus by incorporating a ...