Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

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

Equalization of satellite communication using complex-bilinear recurrent neural network (C-
BLRNN) is proposed. Since the BLRNN is based on the bilinear polynomial, it can be used …

In this paper we provide an in-depth evaluation of the SOM as a feasible tool for nonlinear
adaptive filtering. A comprehensive survey of existing SOM-based and related architectures …

In this article, we have proposed a methodology for making a radial basis function network
(RBFN) robust with respect to additive and multiplicative input noises. This is achieved by …

A signal suffers from nonlinear, linear, and additive distortion when transmitted through a
channel. Linear equalizers are commonly used in receivers to compensate for linear …

In satellites, nonlinear amplifiers used near saturation severely distort the transmitted signal
and cause difficulties in its reception. Nevertheless, the nonlinearities introduced by …

The RBF network is commonly used for classification and function approximation. The center
and radius of the activation function of neurons is an important parameter to be found before …

Perspective of Statistical Learning for Nonlinear Equalization in Coherent Optical
Communications Page 1 Perspective of Statistical Learning for Nonlinear Equalization in …

The presence of nonlinear devices in several communication channels, such as satellite
channels, causes distortions of the transmitted signal. These distortions are more severe for …