Blind separation of underwater acoustic signals via independent component analysis algorithms

Jinping Ni; Yuanliang Ma; Chao Sun; Li Tong

Blind separation of underwater acoustic signals via independent component analysis algorithms

Jinping Ni
, Yuanliang Ma
, Chao Sun
, Li Tong

航海学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

Independent component analysis (ICA) algorithms embody an emerging method for blind separation of signals. Several ICA algorithms to separate underwater acoustic signals were introduced. Simulating with artificial signals, five ICA algorithms were analyzed and compared. The shortage of these algorithms to separate underwater acoustic signals was de scribed. Based on a noisy ICA model, a method for separating underwater acoustic signals in presence of noise was proposed.

源语言	英语
页（从-至）	321-326
页数	6
期刊	Shengxue Xuebao/Acta Acustica
卷	27
期	4
出版状态	已出版 - 7月 2002

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abstract = "Independent component analysis (ICA) algorithms embody an emerging method for blind separation of signals. Several ICA algorithms to separate underwater acoustic signals were introduced. Simulating with artificial signals, five ICA algorithms were analyzed and compared. The shortage of these algorithms to separate underwater acoustic signals was de scribed. Based on a noisy ICA model, a method for separating underwater acoustic signals in presence of noise was proposed.",

author = "Jinping Ni and Yuanliang Ma and Chao Sun and Li Tong",

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AB - Independent component analysis (ICA) algorithms embody an emerging method for blind separation of signals. Several ICA algorithms to separate underwater acoustic signals were introduced. Simulating with artificial signals, five ICA algorithms were analyzed and compared. The shortage of these algorithms to separate underwater acoustic signals was de scribed. Based on a noisy ICA model, a method for separating underwater acoustic signals in presence of noise was proposed.

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M3 - 文章

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JO - Shengxue Xuebao/Acta Acustica

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Blind separation of underwater acoustic signals via independent component analysis algorithms

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