This is the code for paper "SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer"

应用深度学习到OFDM通信系统中的论文文献汇总

Keras 1D Depthwise Convolutional layer

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

[Not Official] Implementation Deep Comple Networks and Plug-in module (e.g. Neural Preprocessing Layer, ICLR 2018)

Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation (IEEE Communications Letters)

Expectation-Propagation (EP) is used in conjunction with Bayesian Inference Problems where an intractable distribution is approximated with a complex multivariate gaussian while minimizing Kullback…

经典的MIMO检测算法

Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018

Spread OFDM-IM, signal detection shemes, theoretical bound on bit error probability

Massive MIMO Detection using MMSE-SIC and Expectation Propagation - Matlab

Index Modulation in OFDM Systems