Wavelet analysis is very preponderant in acoustic emission detection of discharge in high voltage equipment. In its application, selection of best basis is important.
小波分析在高压电器放电检测中有很大的优越性，最优小波基的选择是小波分析的应用中的重要问题。
Finally, the construction of discrete scaling and wavelet kernels, the kernel selection and the kernel parameter learning are discussed.
最后讨论了离散尺度与小波核函数的构造，核函数选择与核参数学习。
A regularized image restoration is the optimization for some conditional constraint, and the selection of wavelet coefficients based Bayesian statistic is on the image random field view.
正则化图像恢复是条件约束的最优化问题，而小波系数的贝叶斯统计选择是基于图像的随机场观点。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
通过在声纳图像识别中的实际应用，对图像处理中几种典型的小波基的选择进行了比较分析。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
The quality of psedu-velocity depends on the result of log-constraining when wavelet was obtained, the quality of original stacking migration section and the selection of all processing parameters.
虚速度剖面制作质量的好坏主要取决于提取子波时测井约束的效果、水平叠加偏移剖面的质量、叠加速度的选取和平滑作用以及各处理参数的选择。
Combining with the denoising principle, the rational selection issue concerning more suitable wavelet base and the best threshold rule in actual application is discussed and compared.
基于小波变换对信号去噪进行了深入地分析和研究，结合去噪原理讨论和比较了实际应用中对小波基及阈值规则的合理选取问题。
After comparing the FFT (fast Fourier transform) and WT (wavelet transform), this paper gives the selection firstly. WT is chosen to analyse the pressure response signal from the EHS.
本论文在试验阶段，首先对傅立叶变换和小波变换进行了对比，选择用小波变换来分析从电液伺服系统提取的压力信号。
The principle and process of the second generation transform based on interpolating subdivision is described, and then the selection of wavelet shrinkage is provided.
介绍了基于插值细分法的第二代小波变换的基本原理和变换过程，给出了小波降噪的阈值选取方法。
The L F signals are transformed by entropy based on wavelet packet algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
该方法采用基于熵的小波包最佳基选取准则，对局部损伤信号进行自适应小波包分解，将分解结果显示于时—频空间即相平面上。
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.
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。
This method has excellent performance by contrast with decaying DC component based line selection method and wavelet pocket transient energy based line selection method.
与衰减直流选线法和小波包暂态能量法做了对比，突出了本算法的优越性。
This method has excellent performance by contrast with decaying DC component based line selection method and wavelet pocket transient energy based line selection method.
与衰减直流选线法和小波包暂态能量法做了对比，突出了本算法的优越性。
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