In this paper we proposed the use of JT65A radio communication protocol for data exchange
in wide-area monitoring systems in electric power systems. We investigated the software …

In this paper we present the symbol and bit error rate performance of the weak signal digital
communications system. We investigate orthogonal multiple frequency shift keying …

In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …

Artificial neural networks (ANNs) are increasingly being considered for physical layer
communications, an area where traditional statistical signal processing and decision theory …

This paper demonstrates exceptional performance of approximately 10.0 dB learning-based
gain using the Deep Convolutional Neural Network (DCNN) for demodulation of a Rayleigh …

This paper presents a new method for noise-immune demodulation of BPSK signals. It is
based on the use of an artificial neural network and signal randomization. Signal …

The powerline channel is classified as harsh due to its original design which was not
intended for communication. Permutation codes have shown to combine efficiently with M …

Recently, automatic modulation classification techniques using convolutional neural
networks on raw IQ samples have been investigated and show promise when compared to …

In this paper, we investigate deep learning (DL)-enabled signal demodulation methods and
establish the first open dataset of real modulated signals for wireless communication …

In this paper, we propose a machine learning (ML) based physical layer receiver solution for
demodulating OFDM signals that are subject to a high level of nonlinear distortion …