| 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 |
| 基金项目: |
|
| 摘要点击次数: 1382 |
| 全文下载次数: 1217 |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
