@inproceedings{055a44b5e45a40f698d841da1ac1821c,
title = "The use of wavelet transform and numerical algorithm in application to the parameter properties of the ultrasonic nondestructive flaw detector",
abstract = "During the parameter properties tests of the ultrasonic nondestructive flaw detector, signal processing will be interfered by two factors, namely, interference from external devices and the random noise results from the collecting process by the card collection. In this parameter properties tests, it use wavelet transform. This is due to the fact that the former one's frequency division ability as well as its local analysis ability can efficiently eliminate random disturbance, thereby ensuring the high frequency component in the effective wave, and further we can restore the signal effectively through reconstruction. In the purpose of improving accuracy, the apply of the method of the Numerical Algorithm is recommended during the work next to data preprocessing. The application of curve-fitting makes testing results more accurate.",
keywords = "Noise Processing, Numerical Algorithm, Ultrasonic Nondestructive flaw detector, Wavelet Transform",
author = "Cheng, {Yi Peng} and Lian, {Xiao Qin} and Zhang, {Xiao Li} and Xu, {Chun Guang} and Xiao, {Ding Guo}",
year = "2012",
doi = "10.1109/CECNet.2012.6201969",
language = "English",
isbn = "9781457714153",
series = "2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings",
pages = "3657--3660",
booktitle = "2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 - Proceedings",
note = "2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012 ; Conference date: 21-04-2012 Through 23-04-2012",
}