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经验模式分解的主要思想类似小波变换，分解结果是由高频到低频分布的，即噪声主要集中在前几层。
EMD similars the wavelet transforms, the decomposition result is from high frequency to the low frequency distribution, namely the noise mainly concentrates in first several.
将分解出的高频图像经过后继处理即可定位出车牌，这种算法不仅提高了车牌定位的速度，而且大大提高了定位的准确率。
The license plate region is positioned by disposing the high frequency image created by wavelets operationthis arithmetic enhances the position velocity and accuracy.
首先用信息熵函数最小选择最优小波基，然后用其对燃气负荷进行二层分解得到负荷的低频信号和高频信号。
Firstly, the best wavelet basis selection was conducted via message entropy function; then the gas load was decomposed to low frequency signal and high frequency signal by two times through it.
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