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一种时频数据处理方法被应用于复合材料损伤检测。根据小波变换的框架重构理论和小波变换时频相空间理论 ,提取了信号的时频域特征 ,通过比较原信号的时频空间和小波变换相空间的相同部分 ,得到了能反映原信号同样时频特征的小波级数展开项和 ,应用 Gram- schmidt正交化方法 ,按照一定准则 ,对所得到的小波级数展开项的线性组合进行正交化处理 ,用代数数值方法 ,从已知采样数据分布集合得到了对应于曲线本身时频特征。经过处理得到的曲线 ,能够很好的逼近原来采样曲线 ,故而能保证和原采样曲线有相同的时间频率性质 ,这样的复合材料损伤缺陷判别方法结果较好。
A time-frequency data processing method is applied to composite material damage detection. According to the frame reconstruction theory of wavelet transform and the time-frequency phase space theory of wavelet transform, the time-frequency feature of the signal is extracted. By comparing the time-frequency space of the original signal and the same part of the phase space of the wavelet transform, According to certain criteria, the linear combinations of the expanded items of wavelet series are orthogonalized. By using algebraic numerical method, from the known Sampling data distribution set has been corresponding to the curve itself time-frequency characteristics. The processed curve can well approximate the original sampling curve, so it can ensure the same time-frequency property as the original sampling curve, and the result of this method is good.