计算机与数字工程2011，Vol.39Issue(11)：147-150,4.
基于递归图和近似熵的水下目标特征提取方法
Method of Underwater Target Feature Extraction Based on Recurrence Plot and Approximate Entropy
摘要
Abstract
To make use of the nonlinear property of underwater target radiated noise in feature extraction to classy the target effectively. Recurrence plot analysis and approximate entropy estimation method is citied to get dynamic characteristics property of original time series. Recurrence plot of target signal is plot based on phase space reconstruction to study the classification property and the determinism of original dynamic system. The nonlinear feature such as approximate entropy is extracted on the basis of recurrence plot algorithm. Based on the 3 types of target sample, simulation result shows that the periodicity embedding strength and determinism of target signal can be just qualitatively. And 3 types of underwater target can be classified by appro ximate entropy feature extractioa关键词
水下目标/递归图/近似熵/特征提取Key words
underwater target/ recurrence plot/ approximate entropy/ feature extraction分类
信息技术与安全科学引用本文复制引用
凌继平,黄定东,邓异,刘仁杰..基于递归图和近似熵的水下目标特征提取方法[J].计算机与数字工程,2011,39(11):147-150,4.
