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README

BeamformNet

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

The structure of BeamformNet

Core symbols most depended-on inside this repo

create_worker_seed_train
called by 9
DeepSFNS/utils/util.py
get_steer_vector
called by 8
DeepSFNS/utils/util.py
get_arrangement
called by 6
DeepSFNS/dataset/gen_data.py
anti_rectifier
called by 5
DeepSFNS/models/subspaceNet.py
RMSE_mode
called by 4
DeepSFNS/utils/metrics.py
create_worker_seed_val
called by 4
DeepSFNS/utils/util.py
train_main
called by 3
DeepSFNS/train.py
normalize_minmax
called by 3
DeepSFNS/show_results.py

Shape

Method 66
Function 64
Class 26

Languages

Python100%

Modules by API surface

DeepSFNS/models/deepSSE.py44 symbols
DeepSFNS/utils/util.py12 symbols
DeepSFNS/models/subspaceNet.py12 symbols
DeepSFNS/utils/dataset.py10 symbols
DeepSFNS/models/daMUSIC.py10 symbols
DeepSFNS/models/deepSFNS.py8 symbols
DeepSFNS/models/IQResNet.py8 symbols
DeepSFNS/utils/loss.py6 symbols
DeepSFNS/dataset/gen_data.py6 symbols
DeepSFNS/utils/metrics.py5 symbols
DeepSFNS/models/source_num_estimator.py5 symbols
DeepSFNS/models/lowSNRNet.py5 symbols

For agents

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

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