This paper presents a study of a new class of adaptive channel equaliser, known as the functional-link (FL) equaliser which utilises functional expansion of ...
From the simulation results, it is observed that the performance of the proposed FLANN based equalizer outperforms the other two in terms of bit-error rate (BER) ...
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We investigate the application of artificial neural networks (ANNs) to adaptive channel equalization in a digital communication system with QAM signal.
Missing: equaliser. | Show results with:equaliser.
It is shown that the proposed equalizer structure outperforms the other two ANN structures and the linear equalizer in terms of the convergence rate, ...
This model shows the behavior of the selected adaptive equalizer in a communication link that has a fading channel.
Mar 15, 2024 · In this manuscript, equalizers are proposed based on Functional Link Artificial Neural Network (FLANN) for nonlinear communication channel.
Missing: equaliser. | Show results with:equaliser.
A new nonlinear adaptive functional-link (FL)channel equaliser is presented, which combines its speed of convergence and its integral linear combiner ...
Feb 21, 2009 · In this paper the functional link artificial neural network (FLANN) model of equalizer is trained with biologically inspired soft computing ...
Nov 21, 2024 · Functional Link Artificial Neural Network-Based Equalizer Trained by Variable Step Size Firefly Algorithm for Channel Equalization: ICCII 2017.
Abstract Functional link neural network (FLNN) is a class of higher order neural networks (HONs) and have gained extensive popularity in recent years.