| 隐马尔可夫模型在被动声信号分类中的应用 |
| |
| 引用本文： | 丁庆海 庄志洪. 隐马尔可夫模型在被动声信号分类中的应用[J]. 南京理工大学学报(自然科学版), 1998, 22(6): 481-485 |
| |
| 作者姓名： | 丁庆海 庄志洪 |
| |
| 作者单位： | 南京理工大学电子工程与光电技术学院!南京210094 |
| |
| 基金项目： | 国防科技预研行业基金项目 |
| |
| 摘 要： | 为了提高被动声目标识别率，该文研究了隐马尔可夫模型在被动声信号分类中的应用问题，然后，又提出了２种混合分类器：特征矢量混合的ＨＭＭ分类器和ＨＭＭ／ＭＬＰＮＮ（多层感知机神经网络）混合模型分类器。结果表明，这２种混合分类器在性能上都优于单个特定的分类器，它们在被动声信号分类中具有良好的应用前景。
|
| 关 键 词： | 声信号 被动声信号 分类 隐马氏模型 |
Application of the Hidden Markov Model to the Classification of Passive Acoustic Signal |
| |
| Ding Qinghai Zhuang Zhihong L u Jianwei Zhang Qingtai. Application of the Hidden Markov Model to the Classification of Passive Acoustic Signal[J]. Journal of Nanjing University of Science and Technology(Nature Science), 1998, 22(6): 481-485 |
| |
| Authors: | Ding Qinghai Zhuang Zhihong L u Jianwei Zhang Qingtai |
| |
| Abstract: | To improve the probability of passive acoustic target identification,the problem of applications of the hidden Markov model (HMM) to the classification of passive acoustic signal are firstly discussed in this paper.Then,following the discussion above,two combined classifiers are presented which are the mixed feature vector HMM classifier and hybrid HMM/ML PNN classifier. The results show that the combined classifiers are superior to any individual specific classifier and have great potentials in the field of passive acoustic signal classification. |
| |
| Keywords: | acoustic signal Markov chains neural network passive acoustic signal classification Hidden Markov Model |
| 本文献已被 CNKI 维普 等数据库收录！ |
