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 …

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 recent years, extensive research has been done to obtain better demodulation
performance by combining signal demodulation with deep learning algorithms, such as …

In recent years, deep learning is becoming more and more popular. It has been widely
applied to fields including image recognition, automatic speech recognition and natural …

Nowadays, neural networks have become a new approach to achieving the destinations of
researchers due to their accuracy. Neural networks are widely used in machine vision …

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 …

Soft demodulation is a basic module of traditional communication receivers. It converts
received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the non-ideal …

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 …

Since the machine learning (ML) techniques showing the great potentialities in creating an
intelligent world, a lot of research pour in this field. When traditional fields are infused with …

In order to overcome the problems of high bit error rate of QPSK demodulation under low
signal-to-noise ratio in traditional modulation pattern recognition methods, a new QPSK …