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

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Pages (from-to)	321-326
Number of pages	6
Journal	Shengxue Xuebao/Acta Acustica
Volume	27
Issue number	4
State	Published - Jul 2002

Cite this

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title = "Blind separation of underwater acoustic signals via independent component analysis algorithms",

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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T1 - Blind separation of underwater acoustic signals via independent component analysis algorithms

AU - Ni, Jinping

AU - Ma, Yuanliang

AU - Sun, Chao

AU - Tong, Li

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N2 - 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.

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

AN - SCOPUS:0036658339

SN - 0371-0025

VL - 27

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EP - 326

JO - Shengxue Xuebao/Acta Acustica

JF - Shengxue Xuebao/Acta Acustica

IS - 4

ER -

Blind separation of underwater acoustic signals via independent component analysis algorithms

Abstract

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