In this paper, we propose a novel real-valued time-delay neural network (RVTDNN) suitable
for dynamic modeling of the baseband nonlinear behaviors of third-generation (3G) base …

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

Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

We investigate the approximation ability of a multi layer perceptron (MLP) network when it is
extended to the complex domain. The main challenge for processing complex data with …

Designing a neural network (NN) to process complex-valued signals is a challenging task
since a complex nonlinear activation function (AF) cannot be both analytic and bounded …

One of the challenges in designing a neural network to process complex-valued signals is
finding a suitable nonlinear complex activation function. The main reason for this difficulty is …

In this paper, a new method of biomedical signal classification using complex-valued
pseudo autoregressive (CAR) modeling approach has been proposed. The CAR coefficients …

A new approach for determining the coefficients of a complex‐valued autoregressive (CAR)
and complex‐valued autoregressive moving average (CARMA) model coefficients using …

An augmented radial basis function neural network (ARBFNN) is proposed for modelling
and linearising a wideband Doherty power amplifier (DPA) with strong memory effects and …

In this paper, we present an augmented radial basis function (RBF) neural network
(ARBFNN) to linearize a wideband Doherty RF power amplifier with strong memory effects …