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Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach
In this paper, an [Formula: see text]-penalized maximum likelihood (ML) approach is developed for estimating the directions of arrival (DOAs) of source signals from the complex elliptically symmetric (CES) array outputs. This approach employs the [Formula: see text]-norm penalty to exploit the spars...
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| Gepubliceerd in: | Sensors (Basel) |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6566714/ https://ncbi.nlm.nih.gov/pubmed/31121894 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19102356 |
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