Title :
Wavelet Packet Variance Methods for Multi-period Analysis of Signal
Author_Institution :
Sch. of Math. & Comput. Sci., Guilin Univ. of Electron. Technol., Guilin, China
Abstract :
In the multi-period structure analysis, the period of signal obtained by the maximal overlap discrete wavelet variance has significant limitations. In this paper, in contrast to the wavelet variance analysis, we present a method of maximal overlap discrete wavelet packet variance to analyze the variance diagram or power spectrum at different scales, and then obtain the period of signal by estimating the maximum value. Experiments show that the method of wavelet packet variance can estimate the multi-period structure of the signal accurately. It is an effective method for signal or time series periodic structure analysis.
Keywords :
signal processing; wavelet transforms; maximal overlap discrete wavelet variance; multiperiod signal analysis; multiperiod structure; multiperiod structure analysis; power spectrum; signal processing; time series periodic structure analysis; variance diagram; wavelet packet variance methods; Discrete wavelet transforms; Estimation; Periodic structures; Wavelet analysis; Wavelet packets; Multi-period; Power spectrum; Wavelet packet variance; Wavelet variance;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2013 5th International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/INCoS.2013.37
