Our objective in this demonstration is to demodulate the received BPSK signal using a deep
neural network. In conventional demodulation, the performance is limited by the carrier …

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 …

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

In this paper we presented a neural network-based method to demodulate digital signals.
After training with different modulation schemes, the learning-based receiver can perform …

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 …

M-ary quadrature amplitude modulation (M-QAM) modulated signal is commonly used in
digital telecommunication systems for its arbitrarily high spectral efficiencies limited only by …

One major challenge for wireless receivers to maintain information fidelity involves the
demodulation of faded signals in noisy environments. Typical demodulation techniques for …

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 …

The convolutional neural network (CNN) is a machine learning methodology that was
successfully implemented in many domains, including electromagnetics and wireless …

This paper summarizes an intelligent correlation receiver design for baseband
demodulation with Long Short Term Memory based Deep Learning technique. We explain …