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- W3163946888 abstract "A new method to design the filter for convolutional beamspace (CBS), called Capon-CBS, is proposed. The idea is to design the filter to be a sliding Capon beamformer. Such design takes input statistics into account, so it can do a better job of suppressing the sources that fall in the stopband. Capon-CBS can offer higher probability of resolution and smaller mean square error for DOA estimation, as demonstrated in the simulations. Moreover, like traditional CBS, Capon-CBS also has the advantage of low computational complexity." @default.
- W3163946888 created "2021-05-24" @default.
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- W3163946888 date "2021-06-06" @default.
- W3163946888 modified "2023-09-25" @default.
- W3163946888 title "Sliding-Capon Based Convolutional Beamspace for Linear Arrays" @default.
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- W3163946888 doi "https://doi.org/10.1109/icassp39728.2021.9414022" @default.
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