Title :
Parasitic Discrete Wavelet Transform and its Application on Abnormal Detection
Author :
Zhang, Zhong ; Ikeuchi, Hiroki ; Miyake, Tetsuo ; Imamura, Takashi
Author_Institution :
Toyohashi Univ. of Technol., Toyohashi
Abstract :
In this study, in order to improve effectiveness of the abnormal signal detection, first the technique of constituting an average real signal mother wavelet (A-RMW) from two or more real signals was proposed. Then a novel parasitic discrete wavelet transform by using the RMW designed is proposed and it effectiveness has been conformed in the identification of the rattle noise that steering operation mechanism causes.
Keywords :
signal detection; wavelet transforms; abnormal signal detection; average real signal mother wavelet; parasitic discrete wavelet transform; rattle noise identification; steering operation mechanism; Continuous wavelet transforms; Discrete wavelet transforms; Frequency; Multiresolution analysis; Production systems; Signal analysis; Signal detection; Systems engineering and theory; Wavelet analysis; Wavelet domain;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.440
