6 citations · 10 across the 2 of their papers we have counts for
4 papers
Quantum Calculus-based Volterra LMS for Nonlinear Channel Estimation
Muhammad Usman, Muhammad Sohail Ibrahim, Jawwad Ahmad +2
A novel adaptive filtering method called -Volterra least mean square (-VLMS) is presented in this paper. The -VLMS is a nonlinear extension of conventional LMS and it is b…
Spatio-Temporal RBF Neural Networks
Shujaat Khan, Jawwad Ahmad, Alishba Sadiq +2
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system identification problem. The proposed algorithm employs the concept of time-space orthogonality and sepa…
Comments on "Momentum fractional LMS for power signal parameter estimation"
Shujaat Khan, Imran Naseem, Alishba Sadiq +2
The purpose of this paper is to indicate that the recently proposed Momentum fractional least mean squares (mFLMS) algorithm has some serious flaws in its design and analysis. Our…
RVP-FLMS : A Robust Variable Power Fractional LMS Algorithm
Jawwad Ahmad, Muhammad Usman, Shujaat Khan +2
In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm. The proposed algorithm named as robust variable power F…