Ref: S. Mosleh, L. Liu, C. Sahin, Y. R. Zheng and Y. Yi, "Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM," in IEEE Transactions on Neural Networks and Learning Systems.
最近更新: 接近4年前This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications
最近更新: 接近4年前This repository consists of work done in Machine Learning and Signal Processing. Machine Learning Stage consists of: * K-means * Expectation Maximization * Principal Component Analysis (PCA) * Mixture Models * Hidden Markov Models (HMM) * Graphical Models * Gibbs Sampling * Manifold Learning * Hashing Signal Processing Stage consists of : * Source Separation * Stereo Matching * Audio Processing * Fourier Transform * Brain Waves * Keyword Detection * Sentiment Analysis * Music Signal Processing * Image Segmentation
最近更新: 接近4年前无线与深度学习结合的论文代码整理/Wireless based on deep learning papers' code
最近更新: 接近4年前This repository contains code for a joint source-channel coding architecture designed to transmit text data over wireless, noisy channels.
最近更新: 接近4年前MIST: A Novel Training Strategy for Low-latency Scalable Neural Net Decoders
最近更新: 接近4年前Single-link channel capacity estimation on the microwave and millimetre wave frequencies by using the Mathworks 5G NR CDL model for NLOS.
最近更新: 接近4年前A simple tutorial of training GAN to model distribution
最近更新: 接近4年前