The previous work for the filter design considers uncorrelated white measurement noise
disturbance. For more complex correlated noise disturbance, the conventional adaptive filter …

For multilayer perceptron (MLP), the initial weights will significantly influence its
performance. Based on the enhanced fractional derivative extend from convex optimization …

The trend of developing fractional gradient based iterative adaptive strategies is evolved in
the recent years through effectively exploring the fractional and fractal dynamics. In this …

The aim of this study is to analysis the mass and heat transfer in radiative three dimensional
flow of hybrid nanofluid over the stretchable sheet by exploiting the strength of integrated …

It is valuable and meaningful to suppress impulsive noise in system identification. Existing
algorithms usually only consider impulsive noise with small frequency and amplitude …

A new avenue of fractional calculus applications has emerged that investigates the design of
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …

In this paper, a new adaptive strategy based on fractional signal processing is proposed
using multi-directional step size fractional least mean square algorithm for online secondary …

Fractional calculus is an efficient tool, which has the potential to improve the performance of
gradient methods. However, when the first order gradient direction is generalized by …

Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …

In the present study, single and two-stage least mean square (LMS) adaptive strategies
based on fractional signal processing are developed for parameter estimation of controlled …