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A novel DOA estimation method based on deep complex-valued networks with sparse prior.
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This is the code for IEEE ICICSP 2023 paper : "Robust DOA Estimation Using Deep ComplexValued Convolutional Networks with Sparse Prior". The link is: https://ieeexplore.ieee.org/document/10390873
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If this work is helpful to you, please star this repositorie and cite our paper:
@INPROCEEDINGS{10390873, author={Hu, Shulin and Zeng, Cao and Liu, Minti and Tao, Haihong and Zhao, Shihua and Liu, Yu},
booktitle={2023 6th International Conference on Information Communication and Signal Processing (ICICSP)},
title={Robust DOA Estimation Using Deep Complex-Valued Convolutional Networks with Sparse Prior},
year={2023},
volume={},
number={},
pages={234-239},
keywords={Training;Direction-of-arrival estimation;Quantization (signal);Simulation;Superresolution;Estimation;Feature extraction;direction of arrival estimation;deep complex-valued networks;sparse representation},
doi={10.1109/ICICSP59554.2023.10390873}}
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A novel direction-of-arrival (DOA) estimation method based on deep complex-valued networks with sparse prior
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A novel direction-of-arrival (DOA) estimation method based on deep complex-valued networks with sparse prior
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