利用正交小波变换进行小波分频特性分析处理，得到了较好的压缩结果。
In the orthogonal wavelet transformation coding, it is to make use of wavelet frequency splitting that may deal with data, and then get the better result of compression.
利用双正交小波基将齿轮的故障振动信号分解到时频域，并提取出齿轮的故障特征。
This paper mainly introduces that the fault vibrating signal of gears was decomposed into time-frequency domains by double-orthogonal wavelet analysis and the fault feature of gears was picked up.
实验证明该方法的去噪效果明显优于正交小波方法和普通双正交小波变换的去噪效果。
The experiment results show the de-noising effect of proposed method is better than those of the orthogonal wavelet transform and the common biorthogonal wavelet transform.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
在以上小波分析理论的基础上进一步讨论了二维正交小波变换和离散图像的小波变换实现。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
构造了正交小波变换矩阵，分析了平稳模型和非平稳模型下正交小波变换的残余相关特性。
Orthogonal wavelet transform (OWT) matrix is constructed and the residual correlation property of OWT is analyzed under the stationary and nonstationary models.
对人脸图象作正交小波变换，得到它在不同频带上的四个子图象，然后分别提取奇异值特征。
We do orthogonal wavelet transform of a face image, get its four sub images of different frequency bands, then respectively extract their singular value features.
本文详细介绍了通过多分辨分析和小波分解实现正交小波变换的基本原理，并给出了实现算法。
In this paper, we particularly explain the basic principle of orthonormal wavelet Transform by multiresolution and wavelet decompose and give a realization algorithm.
在数据处理算法中，在线应用了半正交小波算法进行行波波头的检测，以提高行波定位的准确性。
To improve the location accuracy of travelling wave, the semi orthogonal wavelet algorithm is applied in the data processing to detect the wavefront of travelling waves.
算法在性能指标和视觉质量上均优于基于离散正交小波变换的阈值去噪方法和传统的中值滤波法。
In performance and visual quality, the algorithm is better than the wavelet denoising based on discrete orthogonal wavelet transform and the conditional median value filtering method.
结果表明，如果我们想从多尺度分析出发构造正交小波，那么该多尺度分析必须有正交尺度函数。
This result shows that if we want to construct orthonormal wavelets from a multireso- lotion, then that multiresolution must have an orthonormal scaling function.
从完全重构滤波器组出发，分析了小波与滤波器组之间的关系，讨论了复数离散正交小波的构造。
Starting from perfect reconstruction filter Banks, the relationship between the wavelet and the filter Banks is analyzed, and the construction of complex discrete orthonormal wavelet is discussed.
构造紧支集小波正交基时发现：紧支集正交小波基函数与地震波极为相似，比较适合地震资料处理。
Through construct tight branch collection of orthogonal wavelet base, we find that tight branch collection of orthogonal base wavelet function resembles real seismic wave.
第四章详细地讨论了利用区间双正交小波，根据小波分解和重构来提取图像的边缘特征的一种新方法。
The fourth chapter discusses in detail a novel method for edge feature detection of images based on wavelet decomposition and reconstruction by means of interval biorthogonal wavelet.
提出一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
An improved method based on orthogonal wavelet transform for adaptive speech denoising is proposed, which can increase the convergence rate of the adaptive speech denoising process.
针对强混沌背景中频带内信号难以提取这一问题，提出了基于正交小波变换与小波软阈值滤波相结合的方法。
The extraction of signal embedded in frequency band of chaotic background is always an important and difficult problem in chaotic signal processing field.
本文提出了一种基于正交小波变换的自适应语音消噪改进方法，这种方法可以提高自适应语音消噪过程的收敛速率。
A method of adaptive speech denoising based on orthogonal wavelet transform is proposed in this paper. This method can increase the convergence rate of the adaptive processing.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
本文研究尺度滤波器的基本分解问题。基于所得结果，对于任意给定的尺度滤波器，给出了双正交小波矩阵的构造方案。
In this paper, the factorization of scaling vector filters into prime factors is considered. A construction of bi-orthogonal wavelet matrix with pre-asigned scaling filter is given.
本文在研究了小波变换理论的基础上，主要做了如下工作：1、由于双正交小波的线性特性，其广泛应用于图像处理领域。
We studied the theory of wavelet, and introduced the main work as follow: 1, Because of its linear properties, the biorthogonal wavelet has wide application.
通过将多分辨分析扩展到多进小波的办法，本文也构造了一个具有双对称性、紧支撑集和高阶消失矩的4-进正交小波类。
By extending the theory of multi-resolution analysis to multi-bank wavelets, this paper also focuses on the study of 4-bank compactly supported bi-symmetric orthonormal wavelets.
由于复数小波具备平移不变性和方向选择性等优点，使得它在图像去噪中可以克服离散正交小波变换去噪中存在的毛刺现象。
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
基于二进正交小波构造原理，构造了正交小波基参数表达方程及降噪效果的自适应目标函数，应用遗传优化方法求出最佳小波基。
Based on the constructive theory of orthogonal binary wavelet transform, a parameter expression equation of binary wavelet and adaptive goal function put forward.
针对遥感图像的数据特点，提出了结合双正交变换和SPIHT算法的遥感图像小波零树编码方案。
A new remote sensing image coding scheme based on the biorthogonal wavelet transform and SPIHT algorithm is proposed according to the statistical characteristic of remote sensing image data.
在给出小波变换基本模型的基础上，探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理。
Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.
文章提出一种基于多分辨率学习的正交基小波神经网络结构的设计方法，网络权值的学习采用阻尼递推最小二乘算法。
A designing method of wavelet neural network structure based on multiresolution learning is put forward, and the studies of network weights adopt damped least squares.
利用所构造的复数正交紧支对称小波，分别研究了电网电能质量扰动的检测、定位与分类问题。
From this, detection, location and classification of power quality's disturbances are analyzed respectively, by the symmetry complex compactly-supported orthonormal wavelet constructed.
多小波可以同时具有对称性、正交性、短支撑性、高阶消失矩等性质，这是传统小波无法比拟的。
Multiwavelet can possess symmetry, orthogonality, short support and high order vanish moments, however traditional wavelet cannot possess all these properties at the same time.
在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
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