查询词典 wavelet

In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network ,which could solve the problems of high computation and curse of dimensionality.

在模型结构方面，对于多维输入输出系统建模，本文放弃选用传统的标量积确定小波基函数的方法，将输入矢量的范数作为小波网络基函数的输入变量，从而避免了高维输入所带来的可用小波基数量巨大和计算复杂的缺点。

Base on normal invariant moment and wavelet character, construct wavelet moment and eigenvector, which can rotate, zoom and is no change when moved.

基于一般不变矩和小波特征，构造出小波矩及一组具有旋转、缩放和平移不变性的特征量用于特征提取。

A fault diagnosis based on wavelet and PNN was introduced, which firstly uses Mexican Hat wavelet to transform diagnosis signal and extract energy normalized vector, then uses PNN to output fault as a classifier.

针对煤矿主通风机故障与征兆对应关系复杂的特点，以及利用传统BP网络进行故障诊断存在训练速度慢、易陷入局部极小的缺点，提出基于小波和概率神经网络的故障诊断方法：先利用时频两域有紧支撑能力的MexicanHat小波变换故障信号并提取能量归一化故障特征向量；然后将概率神经网络作为诊断决策分类器，输出故障模式。

The results obtained from three different methods—the conventional numerical differentiation, the discrete wavelet transform method and the proposed continuous wavelet transform method were compared, it was demonstrated that the results are similar for signals without noise, but the signal-to-noise ratio of the result obtained by the CWT method is improved greatly comparing with the former two methods for noisy signals.

通过数值微分法、离散小波变换法及连续小波变换法对模拟信号的求导结果表明：对于无噪音的信号，三种方法的结果相似，而对于含有噪音的信号，连续小波变换法所得结果的信噪比明显高于前两种方法。

This thesis is divided into six parts. The first chapter is preface, the current status of research in the inverse problems for parabolic partial differential equations is reported; the second chapter is "regularization methods for numerical differentiation and their applications ", in this chapter we investigate many regularization methods from a viewpoint of regularization theory and algorithm, some applications in the inverse problems for parabolic partial differential equations are given; the third chapter is "spectral regularization methods". Based on Fourier analysis, within the framework of regularization theory, we apply the spectral methods to some ill-posed problems. Many numerical experiments are done in order to show the validity of the methods; the fourth chapter is devoted to wavelet dual least squares method and a revised wavelet method; in the fifth chapter,we combine finite difference method with method of lines and apply it to the backward heat conduction problem in time; in the sixth chapter "identification problems for unknown source ", the essence and the degree of two problems related to source identification are pointed out, at the same time, some numerical methods are reported.

本文分为六个部分，第一章前言简要分析了国内外抛物型偏微分方程反问题的研究现状；第二章数值微分的正则化及其应用从正则化理论和算法的角度出发，考察了许多正则化方法，还给出了数值微分在抛物型偏微分方程反问题的一些应用；第三章谱正则化方法是在Fourier分析的基础上，在一般正则化理论的框架下，给出了这种方法在各种不适定问题中的应用，数值实验表明谱方法是有效的；第四章研究了小波对偶最小二乘方法和改进的小波方法；第五章主要研究了有限差分方法结合线方法在时间反向热传导问题中的应用；第六章是未知源识别问题，主要指出了两类未知源问题的不适定程度和不适定本质，同时报告了一些数值方法。

First,an image is divided into blocks,and every block is decomposed into one-level wavelet to obtain the wavelet contrast.

该方法先将载体图像分成固定大小的小块，对每一小块进行小波一级分解后计算小波对比度。

The implementation steps are that the seismic data is collected; the Fourier transform is made for the seismic data at a certain time window; a low pass filter operator of the time domain with an interception frequency of FE and a sampling rate of DT is calculated, which is taken as the equivalent N point smooth operator; FE and DT satisfy the equation that FE*DT is equal to X*DF*1.024; the estimate value of the amplitude spectrum of the seismic wavelet and the reverse wavelet are obtained, which are convoluted with the original seismic data; and the deconvolution seismic data of the time window is obtained.

实施步骤是采集地震数据，对某一时窗的地震数据做傅立叶变换，计算截止频率为FE和采样率为DT的时间域低通滤波算子作为等效N点平滑算子，FE与DT满足FE*DT＝X*DF*1.024，进而得到地震子波振幅谱估计值和反子波，再与原始地震数据褶积，得到该时窗的反褶积后地震数据。

Image fusion method based on a new class of wavelet non-separable wavelet with compactly supported, symmetric, orthogonal and dilation matrix is presented.

提出了基于一类新的小波具有紧支撑、对称性和正交性、伸缩矩阵为(20 02)的非张量积小波的图像融合新方法。

Its properties are different from those of orthonormal wavelet bases. It is then proven that the wavelet is a two-dimensional dyadic one.

基于图象的正则变换提出了一类快速边缘检测算法，其计算复杂性是线性量阶的，可以用于计算机视觉等实时处理。

The every frame image was transformed by dyadic discrete wavelet and the characteristic of wavelet transform coefficient was analyzed. Low frequency coefficients were analyzed by fast principal component method which quoted Gram-Schmidt orthonormalization procedure in fixed-point algorithm then distilled principal component and reconstructed the low frequency coefficients. To suppress image noise, the high frequency coefficients were equated to zero.

该算法对热图像序列中的每帧图像进行二进制离散小波变换，提取出低频部分的系数；对低频系数进行改进PCA分析，通过固定点算法并引入Gram-Schmidt正交化过程求解特征向量；令高频系数为零，抑制图像的噪声。

Now she was hungry and angry.She began to smoulder.

现在她又饿又气，她开始流露难以抑制的怒火。

You have placed our iniquities before You, Our secret sins in the light of Your presence.

诗90：8 你将我们的罪孽摆在你面前、将我们的隐恶摆在你面光之中。