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Detecting the Nonlinearity of Fish Acoustic Signals
作者姓名:REN  Xinmin  YIN  Li
作者单位:[1]Information Science and Engineering College, Ocean University of China, Qingdao 266071, P. R. China [2]Institute of Acoustics, Chinese Academy of Scienees, Beijing 100080, P.R. China
基金项目:国家高技术研究发展计划(863计划)
摘    要:1Introduction Ithasbeenknownforsometimethatmanyfishesproducesoundstocommunicatewitheachother,andfishsoundsoftendemonstratecomplexityandvariety.Differentfishspeciesproducetotallydifferenttypesofsounds.Furthermore,eventhesamespeciesprobablyproducesdifferent…

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收稿时间:2005-05-31
修稿时间:2006-06-05

Detecting the nonlinearity of fish acoustic signals
REN Xinmin YIN Li.Detecting the Nonlinearity of Fish Acoustic Signals[J].Journal of Ocean University of China,2006,5(3):278-282.
Authors:Ren Xinmin  Yin Li
Institution:1. Information Science and Engineering College, Ocean University of China, Qingdao 266071, P.R.China
2. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080, P.R.China
Abstract:This paper discusses the nonlinearity of fish acoustic signals by using the surrogate data method. We compare the difference of three test statistics - time-irreversibility Trey, correlation dimension D2 and auto mutual information function I between the original data and the surrogate data. We come to the conclusion that there exists nonlinearity in the fish acoustic signals and there exist deterministic nonlinear components; therefore nonlinear dynamic theory can be used to analyze fish acoustic signals.
Keywords:fish acoustic signals  nonlinearity  surrogate data method  null hypothesis  test statistics
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