SpongeBob-Q

AMC_preprocess

AMR-Benchmark

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

AWN

Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".

CA-MKD

This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).

CEEMDAN

A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)

CEEMDAN-1

for de-noising

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

torchsig

TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.

TransGroupNet

The Pytorch implement of the paper "Convolutional Neural Network Assisted Transformer for Automatic Modulation Recognition under Large CFOs and SROs"

SpongeBob-Q/AMC_preprocess

SpongeBob-Q/AMR-Benchmark

A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition

SpongeBob-Q/AWN

Official code for "Towards the Automatic Modulation Classification with Adaptive Wavelet Network".

SpongeBob-Q/CA-MKD

This is the implementation for the ICASSP-2022 paper (Confidence-Aware Multi-Teacher Knowledge Distillation).

SpongeBob-Q/CEEMDAN

A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)

SpongeBob-Q/CEEMDAN-1

for de-noising

SpongeBob-Q/deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

SpongeBob-Q/torchsig

TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.

SpongeBob-Q/TransGroupNet

The Pytorch implement of the paper "Convolutional Neural Network Assisted Transformer for Automatic Modulation Recognition under Large CFOs and SROs"