This paper introduces a novel approach to blind adaptive equalization for digital
communication systems using genetic algorithms (GAs). Unlike traditional methods that rely …

Volterra systems have had significant success in modelling nonlinear systems in various
real-world applications. However, it is generally assumed that the nonlinearity degree of the …

In this contribution, a novel uni-cycle Genetic Algorithm (GA) is proposed as a learning tool
to optimize the coefficients of an adaptive linear equalizer. The meaning of evolution …

A novel application of quantum behaved particle swarm optimization technique (QPSO) in
develo** an adaptive channel equalizer based on finite impulse response (FIR) filter is …

Purpose Adaptive equalization plays an important role in digital communication to reduce
the distortions due to inter-symbol interference. An adaptive filter is used as an equalizer …

The channel equalization is a technique used in the digital communication system at the
receiver side to mitigate the effect of inter-symbol interference in disruptive channels. In this …

Objectives: In this paper, we propose to develop a discrete adaptive equalizer based on
Quantum behaved Particle Swarm Optimization (QPSO) technique for noisy channel …

The automatic upgradation of equalizer weights in channel equalization demands a low-
complexity, highly accurate estimation of recovery at the minimum possible time. The low …

Abstract In this paper, Differential Evolution (DE) based channel equalization is proposed
and an in-depth comparison of the performance of different variants of DE is made. Adaptive …

Transmission of information from the source to the receiver involves automatic inclusion of
random errors to the signal due to noise, interference or other system imperfections …