45 citations · 196 across the 31 of their papers we have counts for
8 papers · 1 filter
Comments on "Generalization of the gradient method with fractional order gradient direction"
Abdul Wahab, Shujaat Khan
In this paper, a detrimental mathematical mistake is pointed out in the proof of \textit{Theorem 1} presented in the paper\textit{ [Generalization of the gradient method with fract…
Comments on "Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model"
Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan
The purpose of this article is to discuss some aspects of the convergence analysis performed in the paper [Design of momentum fractional LMS for Hammerstein nonlinear system identi…
Comments on "A new computing approach for power signal modeling using fractional adaptive algorithms"
Abdul Wahab, Shujaat Khan, Farrukh Zeeshan Khan
In this paper, some points to the convergence analysis performed in the paper [A new computing approach for power signal modeling using fractional adaptive algorithms, ISA Transact…
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…
Comments on "Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach"
Abdul Wahab, Shujaat Khan
In this comment, we raise serious concerns over the derivation of the rate of convergence of fractional steepest descent algorithm in Fractional Adaptive Learning (FAL) approach pr…
Enhanced -Least Mean Square
Shujaat Khan, Alishba Sadiq, Imran Naseem +2
In this work, a new class of stochastic gradient algorithm is developed based on -calculus. Unlike the existing -LMS algorithm, the proposed approach fully utilizes the conce…
A Robust Variable Step Size Fractional Least Mean Square (RVSS-FLMS) Algorithm
Shujaat Khan, Muhammad Usman, Imran Naseem +2
In this paper, we propose an adaptive framework for the variable step size of the fractional least mean square (FLMS) algorithm. The proposed algorithm named the robust variable st…
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…