1(1/ 2) -Dimension Cepstrum Feature Analysis of Pulse Signals

摘要：

tremendous calculation is a big disadvantage of bicepstrum analysis of pulse signals; to solve this problem, this paper proposes an 1(1/ 2) dimension cepstrum feature analysis method for recognition and classification of drug users’ pulse signals. This method analyzes the signal elements of human pulse signals, taking the three feature parameters: zero component Sx(0,0), value of Hs (p) and CSER as the feature components of pulse signals, which show obvious critical values between drug users and nonusers. This method has been applied in the classification and recognition experiment on 15 users and 15 nonusers and shows a high recognition rate of above 90％.　

关键词： 1(1/2)-dimensioncepstrum pulsesignal classificationandrecognition

作者: Li Zuojin Chen Liukui Wu Ying Xiang Yi

作者单位: Chongqing University of Science and Technology Chongqing, China, 401331 Chongqing University of Science and TechnologyChongqing, China, 401331

会议类型: 国际会议

会议名称: 2011 International Conference on Business Management and Electronic Information(2011商业管理与电子信息国际学术会议 BMEI2011)

会议地点: 广州

会议语种:英文

页码: 1-4

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）