Title :
Detecting Frequency for Transient Signal Based on Wavelet Transform
Author :
Yanhua, Diao ; Guotong, Chen ; Ying, Zhang ; Shuhai, Wang
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
The purpose of signal feature abstraction is to extract the substantial informations from the original data. This work proposes an appropriate approach in detecting local frequency of rapidly transient signal using wavelet transform. In particular, we make full use of the wavelet transform modulus maximum technique . Furthermore, a complete illustration of the theoretical background is provided underlying the measurement method. Simulation shows that this method is more effective than other known methods for frequency estimation.
Keywords :
feature extraction; frequency estimation; signal processing; wavelet transforms; frequency estimation; modulus maximum technique; signal feature abstraction; transient signal; wavelet transform; Continuous wavelet transforms; Data mining; Discrete wavelet transforms; Fourier transforms; Frequency estimation; Frequency measurement; Instruments; Signal detection; Wavelet domain; Wavelet transforms; Wavelet transform; frequency estimation; modulus maximum;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351080