DocumentCode
1733717
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
fYear
2007
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICEMI.2007.4351080
Filename
4351080
Link To Document