Adaptive filtering: issues, challenges, and best-fit solutions using particle swarm optimization variants
Adaptive equalization is crucial in mitigating distortions and compensating for frequency
response variations in communication systems. It aims to enhance signal quality by …
response variations in communication systems. It aims to enhance signal quality by …
Design of fractional hierarchical gradient descent algorithm for parameter estimation of nonlinear control autoregressive systems
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 recent years through effectively exploring the fractional and fractal dynamics. In this …
Design of auxiliary model based normalized fractional gradient algorithm for nonlinear output-error systems
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 …
fractional gradient based novel iterative methods for analyzing fractals and nonlinear …
Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
The presented study deals with the exploitation of the artificial intelligence knacks-based
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …
Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating
The aim of study is to investigate the mass and heat transfer phenomena in hybrid hydro-
nanofluidic system involving Al 2 O 3–Cu–H 2 O over the rotating disk in porous medium …
nanofluidic system involving Al 2 O 3–Cu–H 2 O over the rotating disk in porous medium …
Swarming intelligence heuristics for fractional nonlinear autoregressive exogenous noise systems
A bstract In this paper, knacks of swarming heuristics are exploited for system identification
problem of fractional-nonlinear autoregressive (Fr-NARX) systems with the help of particle …
problem of fractional-nonlinear autoregressive (Fr-NARX) systems with the help of particle …
Hierarchical quasi-fractional gradient descent method for parameter estimation of nonlinear ARX systems using key term separation principle
Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …
successfully applied to solve system identification problem. The QFGD suffers from the …
Enhanced fractional adaptive processing paradigm for power signal estimation
Fractional calculus tools have been exploited to effectively model variety of engineering,
physics and applied sciences problems. The concept of fractional derivative has been …
physics and applied sciences problems. The concept of fractional derivative has been …
Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface
In this study, a novel neuro heuristic approach is designed to investigate the flow properties
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …
of magnetohydrodynamic (MHD) nanofluid along an exponentially extending sheet with a …
An enhanced impulse noise control algorithm using a novel nonlinear function
Y Cheng, C Li, S Chen, Z Zhou - Circuits, Systems, and Signal Processing, 2023 - Springer
In many scenarios where impulse noise occurs, an active noise control (ANC) system using
a filtered-x least mean square (FxLMS) algorithm will have undesirable effects. To solve this …
a filtered-x least mean square (FxLMS) algorithm will have undesirable effects. To solve this …