Reconfigurable Architecture of Ultrasonic Defect Detection Based on Wavelet Packet and Back Propagation Artificial Neural Network

摘要：

The defects detection based on algorithms of discrete wavelet packet transform and back propagation artificial neural network is described firstly. Then the reconfigurable architecture of the defects detection in embedded reconfigurable system is discussed. Upon the reconfigurable architecture, the algorithms of discrete wavelet packet transform and back propagation neural net work are rearranged. The reconfigurable architectures of both algorithms are carried out eventually. According to the experiments of ultrasonic signal processing, the reconfigurable architecture of the defect detection can provides a flexible and efficient solution to embedded reconfigurable signal processing system.

关键词： Reconfigurable wavelet packet BP ANN defect detection

作者: Liu Shoushan Chen Yan Bi Lijun Zhang Tongjun Tao Anli

作者单位: College of Information and Electrical Engineering Shandong University of Science and Technology Qinadao, Shandong Province, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 498-501

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）