A Method of Detecting and Deleting Noise Based on the Maximum Value Iteration of the Wavelet Transform

摘要：

The singular points in signal often include some important information, whose detection and localization have significance in many practical problems. In this paper, according to the relationship between the singular points in signal and the maximum absolute value of the signal wavelet transform, the noise can be deleted through the maximum absolute value iteration. The effectiveness of deleting noise by using this method is experimentally demonstrated.

关键词： the Wavelet Transform the Maximum Value Iteration Threshold Deleting Noise Singular Points

作者: Zhong Qiyuan Tan Lilong Huang Xianxiang

作者单位: Xian High-tech Graduate School, Xian, Shaanxi, 710025, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 1029-1031

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）