The 2nd Edition of Optical Wireless Communications: System and Channel Modelling with
MATLAB® with additional new materials, is a self-contained volume that provides a concise …

A new antenna array beamformer based on neural networks (NNs) is presented. The NN
training is performed by using optimized data sets extracted by a novel invasive weed …

An artificial neural network (ANN) is proposed to predict the input impedance of a
broadband antenna as a function of its geometric parameters. The input resistance of the …

Conventional reservoir computing (RC) is a shallow recurrent neural network (RNN) with
fixed high dimensional hidden dynamics and one trainable output layer. It has the nice …

This practical resource provides an overview of machine learning (ML) approaches as
applied to electromagnetics and antenna array processing. Detailed coverage of the main …

The role of directivity is very important in the operation of an array as it gives a measure of
the effectiveness of the array in pointing the radiations in a specific direction. Traditional …

In this paper, a novel binary phase shift keying demodulator based on 1-D convolutional
neural network (1-D CNN) is proposed. The utilization of neural networks to detect the …

Demodulation techniques are of central importance for achieving intelligent receiving.
Improvement in demodulation performance enhances the overall performance of a …

For nano-scale communications, there must be cooperation and simultaneous
communication between nano devices. To this end, we investigate two way (aka bi …

In order to cope with the wireless traffic demand explosion within the next decade, operators
are underlying their macrocellular networks with low power base stations in a more dense …