Acoustic source localization in strong reverberant environment by parametric Bayesian dictionary learning

• Main Authors: Wang, Lu, Liu, Yanshan, Zhao, Lifan, Wang, Qiang, Zeng, Xiangyang, Chen, Kean
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Source Localization; Sparse Bayesian Method
• 在線閱讀: https://hdl.handle.net/10356/142004

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...