Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.

• UpdatedAug 7, 2021
• Jupyter Notebook

IQFormer: A Novel Transformer-Based Model with Multi-modality Fusion for Automatic Modulation Recognition

• UpdatedJun 12, 2025
• Python

MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification

• UpdatedMay 14, 2021
• MATLAB

This is my Master's Degree Thesis repository. It's about Signal Modulation Classification (or Automatic Modulation Recognition) using Deep Learning.

• UpdatedDec 31, 2024
• Jupyter Notebook

CNN models to solve Automatic Modulation Classification problem.

• UpdatedFeb 23, 2018
• Jupyter Notebook

This is the official repository of the paper "DNCNet: Deep Radar Signal Denoising and Recognition" from IEEE Transactions on Aerospace and Electronic Systems (TAES).

• UpdatedMar 29, 2025
• Python

Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models

• UpdatedJan 13, 2023
• Jupyter Notebook

This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.

• UpdatedJan 31, 2025
• MATLAB

Automatic modulation recognition of DVB-S2X standard-specific with an APSK-based neural network classifier

• UpdatedJul 16, 2021
• MATLAB

This is an assignment for Pattern Recognition Course taught at Alexandria University, Faculty of Engineering offered in Spring 2019. The assignment goal is to design neural network that are able to classify the signals in the DeepSig dataset into their different modulation types.

• UpdatedJul 19, 2019
• Jupyter Notebook

This repository presents the code for digital modulation detection in Communication networks

• UpdatedMay 29, 2019
• MATLAB

Algorithm in Python 2.7 for amplitude, frequency, bandwidth and modulation identification of a signal

• UpdatedJul 6, 2023
• Python

Official code for "EMC²-Net: Joint Equalization and Modulation Classification based on Constellation Network", ICASSP 2023.

• UpdatedMay 30, 2023
• Python

In this project, we have developed a basic CNN model which is used for "Automatic Modulation Classification" using constellation diagrams. Also we have experimented and compared the results obtained from both constellation diagrams and gray images.

• UpdatedJun 29, 2024
• Jupyter Notebook

• UpdatedAug 1, 2020
• Jupyter Notebook

This work home of the PO-233 discipline at ITA shows how to use a machine learning for digital modulation classification.

• UpdatedJun 30, 2020
• Jupyter Notebook

Train a CNN for classifying digital modulation

• UpdatedNov 6, 2024
• Jupyter Notebook

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

• UpdatedAug 30, 2025
• Python

A DSP Toolkit for PyTorch

• UpdatedJul 2, 2025
• Python

This project was for the pattern recognition course I studied in college. This project's aim was to classify the type of each modulation technique used using CNN, RNN, LSTM and CONV-LSTM.

• UpdatedJul 10, 2022
• Jupyter Notebook