文章摘要
王春启,汪鸿振.基于HMM的瞬态回波分类研究[J].声学技术,2000,(1):6~8
基于HMM的瞬态回波分类研究
A study on classification of transient sonar echoes
投稿时间:1999-05-20  修订日期:1999-09-15
DOI:
中文关键词: 瞬态回波  隐马尔可夫模型  声纳信号分类
英文关键词: transient sonar echoes  HMM  sonar echoes classification
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作者单位
王春启  
汪鸿振  
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中文摘要:
      本文从瞬态回波与语音信号在非线性时变方面的相似性出发,分析了隐马尔可夫模型(HMM)用于瞬态回波分类的可行性并选择了一种较合适的HMM结构对两类仿真回波信号进行了分类,取得了较好的效果。
英文摘要:
      As the transient sonar echoes have a similar feature of time-varying and non-linear,the feasibility of using HMM(Hidden Markov Model,which has been used successfully in speech recognition)to classify the transient sonar echoes has been discussed and a proper HMM structure has been selected.The classification experiment shows that it’s effective to classify the transient sonar echoes using the HMM we selected.
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