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clnet

Code of the paper, CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedback

cnn-limesdr

This is based on cnn-rtlsdr. I modified it to use limesdr. It also contains python interface for lime API, similar as pyrtlsdr

cnn-rtlsdr

Deep learning signal classification using rtl-sdr dongle

commpy

Digital Communication with Python

complex_valued_neural_network

Contains materials and codes for building neural network that handle complex numbers

dataset

Open RadioML Synthetic Benchmark Dataset

dl-channeldecoding

On Deep Learning-based Channel Decoding

high_capacity_complex_networks

Code for, "HIGH-CAPACITY COMPLEX CONVOLUTIONAL NEURAL NETWORKS FOR I/Q MODULATION CLASSIFICATION".

lecture-examples

Sample scripts used in the lectures of the CEL (Communications Engineering Lab) at KIT

mathjax

Beautiful and accessible math in all browsers

mathjax-demos-web

A repository with examples using mathjax-v3

modulation-classification

Fully Connected Neural Network and CNN Models for Modulation Classification on a synthetic dataset, generated with GNU Radio, consisting of 10 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios.

pyenv

Simple Python version management

rf-classification

rfml

Radio Frequency Machine Learning with PyTorch

scalable-cell-free

Simulation code for “Scalable Cell-Free Massive MIMO Systems,” by Emil Björnson and Luca Sanguinetti, IEEE Transactions on Communications, to appear.

scikit-dsp-comm

A collection of functions and classes to support signal processing and communications theory teaching and research