modulation-recognition 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
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.
IQFormer：一种基于变换器的新型模型，采用多模态融合实现自动调制识别
PyTorch Implementation Modulation Recognition Networks on the RadioML2016 Dataset
Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models
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.
STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation
Automatic modulation recognition of DVB-S2X standard-specific with an APSK-based neural network classifier
Official repository of paper "SMTrans: An Efficient Automatic Modulation Recognition Network Based on the Scale-Aware Modulation Transformer".
Code for "A Multi-scale Complex-valued Convolutional Fusion Network for Automatic Modulation Recognition"
Train a CNN for classifying digital modulation
This repository contains simulations of various intra-pulse modulation techniques implemented in Python.
MATLAB simulation project for ASK, FSK, BPSK, QPSK and 16QAM modulation recognition using AWGN, feature extraction, SVM and KNN.
SPXH · 智能射频信号分析平台：从未知 I/Q 到可读业务比特的确定性流水线（纯 Python，核心只依赖 numpy + scipy）
An implementation of "Convolutional Radio Modulation Recognition Networks"
Automatic modulation classification for six simulated I/Q signal classes using DSP features, Random Forest, a compact 1D CNN, and a Streamlit workbench.
A deep learning system for RF modulation recognition using PyTorch and MATLAB. Classifies raw I/Q signals and analyzes the sim-to-real domain gap on the RadioML dataset via an interactive Streamlit dashboard.
BP-network-based recognition of mixed modulation signals across varying SNR conditions.
毕设相关
TEKNOFEST Electronic Warfare system: live SDR IQ over ZMQ/GNU Radio, ONNX modulation recognition, TDoA/AoA direction finding, jamming and GPS/radio spoofing panels in a PyQt6 cockpit.
复旦微 FPGA SoC 多径 ML–CBF 联合测向与调制识别系统：六天线、最大似然候选与 CBF 空间谱匹配、NPU 六类识别。