In this paper, we compare two artificial neural networks (ANNs) approaches designed to
perform channel equalization for millimeter-wave (mmWave) signals operating in the 28 …

Fingerprint classification is a stage of biometric identification systems that aims to group
fingerprints and reduce search times and computational complexity in the databases of …

A coherent optical (CO) orthogonal frequency division multiplexing (OFDM) scheme gives a
scalable and flexible solution for increasing the transmission rate, being extremely robust to …

An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is
introduced. The proposed ELM combining method, defined in the complex plane, is …

Wireless communication systems working in millimeter-wave (mmWave) frequency bands
offer higher bandwidths than traditional radio frequency schemes. This technology allows …

Wireless vehicular communications are a promising technology. Most applications related to
vehicular communications aim to improve road safety and have special requirements …

In this paper, we present an extreme learning machine (ELM) neural network designed to
perform multiple-input multiple-output (MIMO) detection for millimeter-wave (mm-wave) …

It is well known that the performance of orthogonal frequency division multiplexing (OFDM)
is limited by phase noise, which depends on the laser linewidths for coherent-detection …

Fingerprint recognition is the most employed bio-metric method for identification and
verification purposes. Fingerprint images are classified into five categories according to the …

Visible light communication (VLC) systems have numerous applications in harsh
environments, such as underground mining. However, the irregular tunnel features, the …