应用小波的PV振荡周期多分辨率检测

Multi-resolution Approach to Periodicity Detection Based on Wavelet Transform

该文提出了一种新的使用小波技术检测PV数据信号振荡周期的方法.首先使用小波技术对PV数据进行降噪;然后在不同分辨率上,应用冗余二进制离散小波变换(DDWT)来分解PV振荡信号,并检测该信号的小波系数极值,重构PV信号,避免降噪后的PV信号失真;最后基于本文提出的新算法,计算获得PV振荡信号的周期.

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.