Signal demodulation in short range multi-path channel plays an important role in
communication system. The existed wireless communication system in short range multi …

Deep learning (DL) is a powerful technique which has achieved great success in many
applications. However, its usage in communication systems has not been well explored …

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 …

With the rapid development of information nowadays, spectrum resources are becoming
more and more scarce, leading to a shift in the research direction from the modulation …

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 …

Deep belief network (DBN) has been successfully applied in variety areas such as image
recognition and natural language processing. In this paper, we investigate the signal …

Accurate signal detection is one of the most important requirements of wireless
communication systems. The two most important processes of the signal detection are …

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 propose a novel deep learning (DL)-based receiver design for orthogonal
frequency division multiplexing (OFDM) systems. The entire process of channel estimation …

Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …