基于连续小波变换的风速时程特性识别与分析

由于风速时程属于频域宽和频率变化剧烈的时变信号，需用具有良好时频局部化特性和弹性时．频窗口的小波变换进行分析。本文的目的是在风速时程的描述上较全面地了解风速的时频特性。利用小波分析方法在时域和频域的良好局部化性质，聚焦到风速时程的任意细节并加以分析，快速、准确地提取样本的局部谱密度特征，特别是对在整个时程记录中，具有相同功率谱但时频内容有差别的风速时程。用小波变换分析试验得到的风速时程，并研究和识别试验得到的曲线和实测风速曲线的时频特性、能量关系和局部谱密度特征。

Identification of Wind Velocity Based on Continuous Wavelet Transform

The wind is a kind of random process which covers wide frequency band and changes sharply. The Wavelet Transformation has excellent localized characters in both time and frequency domains, which not only makes wind velocity time series analysis more accurate, but also can focus on any details of objective signal series. The Wavelet Transformation was applied to the velocity of wind measured in experiment. The resulting time scale representation of wavelet transform coefficients was used to extract the local power spectral density of the sample which will be compared with the result of full scale velocity measurement.