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Sparse Method for Direction of Arrival Estimation Using Denoised Fourth-Order Cumulants Vector
Fourth-order cumulants (FOCs) vector-based direction of arrival (DOA) estimation methods of non-Gaussian sources may suffer from poor performance for limited snapshots or difficulty in setting parameters. In this paper, a novel FOCs vector-based sparse DOA estimation method is proposed. Firstly, by...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6021863/ https://ncbi.nlm.nih.gov/pubmed/29867047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18061815 |
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