物理学报2011，Vol.60Issue(7)：437-443,7.
基于流形学习的声目标特征提取方法研究
A novel approach to research on feature extraction of acoustic targets based on manifold learning
摘要
Abstract
In order to overcome the deficiency of robustness of low altitude passive acoustic target recognition, the manifold learning is applied to the feature extraction of acoustic targets. Based on the classical algorithm of manifold learning, in the paper we study and discuss the low-dimensional manifold in the frequency-domain of acoustic signals. This method is used to solve the target recognition problem with two data sets to verify its effectiveness, after which the performance is analyzed. The result indicates that the manifold learning can discover the intrinsic feature and increase the accuracy and the robustness of low altitude passive acoustic target recognition system.关键词
声目标识别/特征提取/流形学习Key words
acoustic targets recognition/feature extraction/manifold learning分类
信息技术与安全科学引用本文复制引用
刘辉,杨俊安,王一..基于流形学习的声目标特征提取方法研究[J].物理学报,2011,60(7):437-443,7.基金项目
国家自然科学基金（批准号：60872113）资助的课题. （）
