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

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 …

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 …

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 …

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 …

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 …

Modulation is an indispensable component in modern communication systems and multiple
phase shift keying (MPSK) is widely studied to improve the spectral efficiency. It is of great …

The demodulation of digital signal plays a key role in the communication system. The
traditional demodulator is usually realized by special hardware platform, which has the …

The autocorrelation demodulator (ACD) for DDPSK is an offset tolerant demodulator which
has been introduced for applications where the signal experiences large Doppler shift …

With the increasingly fierce competition of electromagnetic spectrum, developing intelligent
communication systems that can reconfigure its waveform can effectively improve the …