Title :
Phase extraction method based on real wavelet transform
Author_Institution :
China Electr. Power Res. Inst., Beijing
Abstract :
Phase information (PI) is important. Complex wavelet transform (CoWT)-based PI extraction methods are popular. Real discrete wavelet transform (RDWT) is simple, fast and non-redundant, but it is usually regarded to be lack of PI. This paper presented three RDWT-based PI extraction methods and proved these methods are equal to CoWT-based ones. Demonstration examples are given.
Keywords :
discrete wavelet transforms; feature extraction; signal processing; RDWT-based PI extraction method; phase information; real discrete wavelet transform; signal processing; Continuous wavelet transforms; Data mining; Discrete wavelet transforms; Fourier transforms; Frequency; Power system analysis computing; Signal analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Precision Electromagnetic Measurements Digest, 2008. CPEM 2008. Conference on
Conference_Location :
Broomfield, CO
Print_ISBN :
978-1-4244-2399-6
Electronic_ISBN :
978-1-4244-2400-9
DOI :
10.1109/CPEM.2008.4574846
