Equalization refers to any signal processing technique used at the receiver to combat
intersymbol interference in dispersive channels. This paper reviews the applications of …

Functional link neural network (FLNN) is a class of higher order neural networks (HONs) and
have gained extensive popularity in recent years. FLNN have been successfully used in …

A computationally efficient artificial neural network (ANN) for the purpose of dynamic
nonlinear system identification is proposed. The major drawback of feedforward neural …

The present bibliography represents a comprehensive list of references on nonlinear system
identification and its applications in signal processing, communications, and biomedical …

In this paper, a modified grasshopper optimization algorithm is proposed for equalization of
non-linear wireless communication channels. Even though grasshopper optimisation …

Neural network (NN) based equalizers are known to outperform the linear equalizers based
on finite impulse response (FIR) adaptive filter for highly dispersive and non-linear channels …

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier
code division multiple access (MC-CDMA) wireless communications systems. Although …

The transmission of high-speed data over communication channels is the function of digital
communication systems. Due to linear and nonlinear distortions, data transmitted through …

A complex radial basis function neural network is proposed for equalization of quadrature
amplitude modulation (QAM) signals in communication channels. The network utilizes a …

In this paper, we present a computationally efficient neural network (NN) for equalization of
nonlinear communication channels with 4-QAM signal constellation. The functional link NN …