为了克服小波固有的缺陷，本文构造了一种组合小波，并利用它实现了对电力暂态谐波信号含量及频率的准确检测。
To conquer the old wavelet inherent shortcoming, a combine wavelet is designed and used to realize the accurate detection to harmonic contents and frequency of power quality transient signals.
并将小波神经网络非线性组合预测方法引入软基沉降预测中，以最大限度地提高软基沉降预测的准确性。
I also introduced wavelet neural network nonlinear combination forecast method in soft base settlement forecast to furthest advance the veracity of soft-base settlement forecast.
然后运用基于小波多分辨率数据组合的文字水印方法对博物馆数字图像进行了版权保护应用研究，并对数字水印图像进行了稳定性测试，取得了较好的效果。
Study of copyright of digital image in museum by wavelet multi solution data combination and study of stability of the dig ital display make a better result.
实验中以CDF 9/7二维离散小波变换为例，对于JPEG 2000中推荐使用的5级小波分解，本文算法相对于原空间组合推举算法的缩放运算乘法量减少了34。
Using 5-level CDF9/7 2-D discrete wavelet transform recommend in the standard of JPEG2000, the multiplication operation for scaling in the algorithm is decreased by 34.
又小波网络较神经网络有更多的优点，通过比较，证实基于小波网络的非线性组合预测方法用于径流预报中更能提高预测的精度。
Compare to them, the result was that the nonlinear combinatorial forecasting method applying to the runoff forecasting based on the wavelet network can improve the forecast precision.
给出了积温效应的量化公式，提出了考虑积温效应的小波变换与神经网络负荷组合预测方法。
The quantitative formula of accumulated temperature effect is given and the load forecast combining wavelet transform and neural network is proposed with the accumulated temperature effect.
给出了积温效应的量化公式，提出了考虑积温效应的小波变换与神经网络负荷组合预测方法。
The quantitative formula of accumulated temperature effect is given and the load forecast combining wavelet transform and neural network is proposed with the accumulated temperature effect.
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