In the technology of MWD (Measurement While Drilling), due to the particularity of the
transmission medium, the transmission signal method, and the complexity of the on-site …

In the scenarios of non-cooperative wireless communications, automatic modulation
recognition (AMR) is an indispensable algorithm to recognize various types of signal …

Aiming at the problem of signal demodulation under noise interference channel, a signal
recognition method using deep learning is proposed. The signal demodulation is completed …

In this article, we propose multiple machine learning (ML) based physical-layer receiver
solutions for demodulating orthogonal frequency-division multiplexing (OFDM) signals that …

This paper proposes a novel convolutional neural network (CNN) based joint classification
method to characterize the signal-to-noise power ratio (SNR) and Doppler shift using …

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 …

This paper presents and demonstrates the design of a filter-less transmitter architecture with
digitally assisted harmonic cancellation. A neural network is used to model the harmonics as …

In this paper, we propose a field programmable gate array (FPGA) implementation of a one-
dimensional convolution neural network (1D-CNN) demodulator for binary phase shift …

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

In the paper, we compared spectral efficiency between OFDM signals, reputed SEFDM
signals, and recently proposed RRC-SEFDM and PR-SEFDM signals. The last three are …