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- W2022637486 abstract "The multiple sound source localization problem in reverberant environments is studied by using a circular microphone array. The problem is approached by performing single source localization at each of the selected time-frequency (TF) data points from the received signals followed by a histogram technique to achieve robust localization. A novel TF data point selection scheme is proposed based on the ratio of the power of a TF point to that of its adjacent preceding TF point at the same frequency. The method introduces little extra computation and is suitable for real-time implementation. The proposed algorithm is compared with the algorithm in [1] to show its effectiveness and efficiency using extensive simulations." @default.
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- W2022637486 date "2014-03-01" @default.
- W2022637486 modified "2023-09-26" @default.
- W2022637486 title "Indoor multiple sound source localization using a novel data selection scheme" @default.
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- W2022637486 doi "https://doi.org/10.1109/ciss.2014.6814189" @default.
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