中文

Journal of Applied Sciences ›› 2010, Vol. 28 ›› Issue (1): 60-64.

• Electronic Engineering • Previous Articles     Next Articles

Multi-resolution Approach to Periodicity Detection Based on Wavelet Transform

XU Zhan-yang1;2, Charles ZHAN3, ZHANG Shun-yi1   

  1. 1. Institute of Information Network Technology, Nanjing University of Posts and Telecommunications,
    Nanjing 210003, China
    2. Department of Computer Sciences, Nanjing University of Information Science and Technology,
    Nanjing 210044, China
    3. Advanced Process Control Research and Development Group, Honeywell Process Solutions, Phoenix,
    AZ 85027, USA
  • Received:2009-04-21 Revised:2009-11-10 Online:2010-01-20 Published:2010-01-20

PDF

1461

Cited

4

Abstract:

In this paper, we present a novel approach of periodicity detection using wavelet technology.Adaptive wavelet denoising is applied to the PV data. The redundant dyadic discrete wavelet transform is used to decompose the PV oscillation and detect the extreme wavelet coefficients which used to reconstruct the PV signal to avoid signal distortion at different resolution scales. Calculating the indexes based on the post-processing of extreme coefficients, periodicity at the scales selected is worked out, and the PV oscillation periodicity can be obtained.

Key words: periodicity detection, PV oscillation, DDWT, wavelet coefficient, extreme valuev

CLC Number: