Applications of Neural Networks in Underwater Acoustic Signal Processing

  • Zheng Zhaoning
Chapter

Abstract

It is well known that underwater acoustic channels are particularly complicated and difficult for typical signal processing procedures due to the time-varying, homogeneous volume, rough boundaries, and the abundance of interference noise sources in these channels. Most traditional methods of statistical signal processing employ simplified assumptions (linear, stationary, Gaussian) for the sake of mathematical tractability that inevitably lead to inadequate performance.

Keywords

Neural Network Radial Basis Function Network Systolic Array DOAs Estimation Hopfield Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Zheng Zhaoning
    • 1
  1. 1.Department of Radio EngineeringSoutheast UniversityNanjing, JiangsuP.R.China

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