45 citations · 196 across the 31 of their papers we have counts for
5 papers · 1 filter
q-LMF: Quantum Calculus-based Least Mean Fourth Algorithm
Alishba Sadiq, Muhammad Usman, Shujaat Khan +3
Channel estimation is an essential part of modern communication systems as it enhances the overall performance of the system. In recent past a variety of adaptive learning methods…
RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
Shujaat Khan, Imran Naseem, Roberto Togneri +1
In extreme cold weather, living organisms produce Antifreeze Proteins (AFPs) to counter the otherwise lethal intracellular formation of ice. Structures and sequences of various AFP…
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…