小波方差在信号特征提取中的应用

Study On Wavelet Variance And Its Application In Signal Feature Extraction

根据小波变换的特点,引入了单一尺度下的小波方差,研究了其在反映随机信号的统计特征方面的特点,以及在信号特征提取中的应用。最后,以一类石油测井信号为实例,分别利用小波方差分析和提取信号在强噪声环境下的特征脉冲。研究结果说明:小波方差是表征信号能量的一个物理量,也是提取非平稳信号的特征的有效方法。

The wavelet variance is introduced based on wavelet transform. Its utility of reflecting the statistic characteristics of random signals and application in feature extraction are analyzed. At last, taking one style of signal acquired from oil exploration as an example, wavelet variance is applied in analyzing and extracting the valid pulses polluted by noise. Research and the case indicate that wavelet variance is an effective approach to extracting signal feature.