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wavelet相关的网络例句

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Then the relationship between the wavelet shrinkage and diffusion equation is studied. A t last stationary wavelet transform has been used to derive an affine invariant function.

同时从小波阈值函数与散度函数的关系入手进行研究,说明了小波分析与偏微分方程之间的联系。

It is the first time that the theory of wavelet has been applied in the signal processing of the CODOG power plant experiment rig and wavelet transform denoising was used, it may keep the aiguille and saltation parts, wipe off the noise and pick up the useful signal, it is benefit to analysis the result in experiment.

把小波分析理论应用于CODOG实验台信号处理中,用小波变换进行信号消噪,可以很好的保存有用信号中的尖峰和突变部分,将信号的噪声部分去除,从中提取出于有用信息,更有利于实验结果分析。

In which, first of all, the influence of solid tide whose period is longer than 128 minutes is removed with high-pass filter, and the secondly, air-pressure influence is removed with linear regression method ,and then the signals for 2~128 minutes are decomposed into 6 different kinds of frequency bands with wavelet transform method. The results indicat that wavelet transform can be used to identify small change existed in deformation signal.

用高通滤波消除周期>128分钟的固体潮汐影响,用回归分析方法消除气压干扰,用小波变换方法将2~128分钟的信号分解到6个不同频段进行分析,结果显示小波变换方法能提取出信号中的微弱变化信息。

After analyzing the reason in wavelet aliasing, a method is proposed to solve the problems caused by Wavelet aliasing.

分析了快速小波变换中小波混叠产生的原因,并提出解决方法。

Two new functions based on the property of bubble wavelet are proposed. An approximate 2nd derivative of an analytical signal can be obtained by applying n times of the wavelet transform to the signal, the signal-to-noise ratio can be enhanced greatly.

根据小波的定义和墨西哥帽小波的一些特点提出了两种简单的窗口函数,利用它们对模拟高斯信号求2n阶近似导数的同时滤除了噪声,同时还可分离重叠峰,并讨论了尺度因子对变换结果的影响。

This paper proposes an analog synthesis circuit of a wavelet function approximator using sigmoidal mother wavelet.

小波函数使用反曲型母小波模拟,电路由双极型晶体管、可控放大器和线性无源电子元件等组成。

We have accomplished under mentioned arithmetic in the project, which are the wavelet zero tree coding arithmetic based on difference signal and the non compression arithmetic based on the integer wavelet transform of interested area. We have achieved the huge amount of data processing and storing in real time、high speed and multi-channel.

完成了基于差分信号的小波零树编码算法和基于感兴趣区域整数小波变换的无损压缩算法,实现了高速、多通道、在线实时信号的处理存储。

This thesis gives the B-spline wavelet and essential quality of it, proponing the solving array expression of combining B-spline wavelet and Galerkin method.

给出了B-样条小波函数及其基本性质,并提出了B-样条小波与Galerkin方法相结合的求解列式。

Though comparing Canny operator and center B spline dyadic wavelet, the following conclusion is proven in this dissertation: a Center B spline function has tight support and Canny operator hasn't. b Center B spline function asymptotic convergence to Gaussian function and the derivative of Center B spline function asymptotic convergence to Canny operator. c The derivative of fourth order center spline B function is more suitable as a optimal edge detector than Canny operator. d Center B spline function can balance the smoothing and approximation of original data, and the fourth center B spline function is the only optimal solution of two order smoothing problem. e The error between the valve of time-frequency uncertainty of the fourth center B spline function and the lower bound of time-frequency uncertainty does not exceed 0.143% of the lower bound. f The derivative of center spline B function can construct a stability dyadic wavelet and can give a fast algorithm for multiscale edge detection, but Canny operator can do neither.

作者给出了Canny算子与中心B样条二进小波严格的比较证明,得出如下结论:a中心B样条函数具有紧支集,Canny算子不具有紧支集。b中心B样条函数的极限收敛于高斯函数,中心B样条函数的导数收敛于Canny算子。c四阶中心B样条函数的导数比Canny算子更接近最佳边缘检测滤波器。d中心B样条函数比高斯函数更能兼顾对原函数平滑和逼近的折中要求,并且四阶中心B样条函数是二阶逼近问题的唯一最优解。e四阶中心B样条函数的时频测不准关系值与时频测不准关系下界的逼近误差不超过0.143%。f中心B样条函数的导数可以构成稳定的二进小波,存在快速的多尺度算法;而Canny算子不构成稳定的二进小波,无法给出快速的多尺度算法。

Based on the characteristic of multi-resolution analysis of wavelet transform, pitch detection algorithm with the combination of wavelet transform and weighted autocorrelation function is proposed here.

3基于小波变换的多分辨率分析特性,提出了小波变换与加权自相关函数相结合的基音检测算法。

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