Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning
Sparse representation techniques have become increasingly promising for localizing the sound source in reverberant environment, where the multipath channel effects can be accurately characterized by the image model. In this paper, a dictionary is constructed by discretizing the inner space of the en...
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Main Authors: | Wang, Lu, Liu, Yanshan, Zhao, Lifan, Wang, Qiang, Zeng, Xiangyang, Chen, Kean |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/142004 |
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Institution: | Nanyang Technological University |
Language: | English |
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