BeamformNet:Deep Learning-Based Beamforming Method for DoA Estimation via Implicit Spatial Signal Focusing and Noise Suppression
The DeepSFNS project file is the official implementation of BeamformNet. Among them, deepSFNS. py is the BeamformNet model file.
Firstly, install the environment according to requirements.txt.
Then run the run.py file by python -u ./run.py --root_path ./DeepSFNS --gen_data_config_path ./dataset/gen_data_config.yaml --train_config_path ./train_config.yaml --model_config_path ./models/deepSFNS_config.yaml --validate_config_path ./validate_config.yaml

$ claude mcp add BeamformNet \
-- python -m otcore.mcp_server <graph>