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A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition
This repository provides a simple python script for getting experience with common modulation techniques i.e. QAM, PSK, ASK and BPSK
ModRecHub - An online hub for Datasets, Algorithms and Models on Modulation Recognition for Communication Systems
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.
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