Closest source selection using IVA and characteristic of mixing channel

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This paper introduces a method for selecting a target source of interest. The target source is assumed to be the closest; to sensors among all the other sources regardless of the target source not being the dominant power at the sensors. In this paper, we propose a simple method to select the closest; source from signals separated by Independent Vector Analysis (IVA). The proposed method is processed in two-stages. Firstly IVA is used to separate the mixed signals. Secondly, the mixing channel characteristics are used to choose the closest source. Simulated experimental results are presented to show how well the proposed method works.
Publisher
ICONIP '09
Issue Date
2009-12-01
Language
English
Citation

16th International Conference on Neural Information Processing, ICONIP 2009, pp.365 - 372

DOI
10.1007/978-3-642-10677-4_41
URI
http://hdl.handle.net/10203/154869
Appears in Collection
RIMS Conference Papers
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