It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation.
接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
According to the feature of the MRA, this paper presents a noise filtering method of adaptive fuzzy threshold for wavelet classification base on multi resolution.
针对小波变换多分辨分析(mra)的特点，本文提出一种多尺度分级的自适应模糊权重中值滤波的去噪方法。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
Wavelet theory provides various basis functions and multi-resolution methods for finite element method, which will be selected in solving different problems.
小波理论为有限元方法提供了许多不同的基函数和多尺度分析方法，需要根据具体分析问题进行选择。
The method that combine the cumulative average and multi-resolution analysis in wavelet transform was presented which can de-noise the weak signal collected from the sensor.
提出了对传感器采集到的微弱信号进行累加平均和小波变换中的多分辨率分析方法相结合去噪。
In addition, by exploiting the multi-resolution property of wavelet, the scheme that is resolution-scaleable can compress the transformed image for progressive resolution.
同时利用了小波变换的多分辨率性质，以渐近分辨率的方式压缩图片，具有分辨率可扩展性。
Power quality disturbance classification based on time domain, rule based and wavelet multi - resolution decomposition.
基于时域、多分辨率分析和规则基的电能质量扰动分类。
As a new signal processing method, wavelet transform has been widely used on DSP, for it can analyze signal with multi-resolution and has efficient algorithm.
小波变换作为一种新型的信号处理方法，因其可以对信号进行多分辨率分析并有高效算法，所以在DSP上得到了广泛应用。
The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.
利用小波变换所具有的良好的时频分析特性，实现了输入输出之间映射关系的多分辨学习。
In order to attain the goal of using multi scale frequency divided data for interpretation, the paper applied the wavelet multi resolution analysis to detect the coherent data volume.
为了达到多尺度分频解释的目的，本文将小波多分辨率分析应用到相干体提取过程中。
Firstly, based on wavelet multi-resolution analysis method, the load serials are decomposed to different sub-serials which show the different frequency characteristics of the load.
首先基于小波多分辨率分析方法将负荷序列分解成具有不同频率特征的序列。
Saveral methods previously used in cloud removal of multi-spectral image are discussed firstly, and then multi-resolution analysis of image fusion based on wavelet transform is introduced.
在介绍几种常用于多传感器遥感图像去云方法的基础上，采用多分辨力小波分解的图像融合法来达到对影像的去云目的。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
In the paper focal point was put on the model simplification with wavelet transform and the construction of multi-resolution model with LOD technology and at the same time trial was applied.
文中重点研究了数字高程模型的小波变换简化以及构建多分辨率数字模型中LOD简化技术并进行试验应用。
General functions may be represented as Wavelet series. A kind of stabile, efficient and fast algorithm of Wavelet transform may be gotten through multi-resolution analysis.
一般函数都可以写成小波级数的形式，而由多分辨分析可得到小波的稳定有效快速变换算法。
Meanwhile, it should be indicated that this algorithm has less computational complexity than multi-resolution wavelet transform, which makes it possible to put into practice.
同时，该算法的计算量较多尺度小波变换计算量小，有利于工程实现。
In this paper, the systemic risks of wheat, corn, cotton and peanut in Henan province was quantitatively analyzed by using wavelet multi-resolution analysis and system clustering method.
本文利用小波多分辨分析和系统聚类法对河南省小麦、玉米、棉花和花生系统性风险进行了定量分析。
The good local amplification and multi-resolution characteristic make the wavelet network have strong adaptive capacity, fast convergence speed and high precision of prediction.
良好的局部放大特性和多分辨率学习特性使得小波神经网络比神经网络有更强的自适应能力、更快的收敛速度和更高的预报精度。
The wavelet transform does multi-resolution analysis on the signal which clarifies the electrocardiogram (ECG) signal characteristics to more easily detect the QRS complex.
小波分解对信号做多分辨率分解，可以突出信号的特征信息，便于QRS波群检测。
Wavelet multi-resolution analysis method was used to detect de-noising disturbance signal, character values of the transient voltage disturbance signal were extracted more precisely.
利用小波多分辨率分析方法对去噪后的扰动信号进行检测，更精确地提取出了暂态电压扰动信号的特征值。
After introducing the common theory of wavelet analysis and the common concept of multi-resolution analysis, the thesis proves the important conclusions of the orthogonal multi-resolution analysis.
讨论了小波分析的一般理论，包括多分辨分析的一般概念，并证明了正交多分辨分析的重要结论。
The wavelet has the good multi-resolution decomposition features, which both have a significant compression of image data, but also retain most of the information of an image.
而小波变换多分辨率分解的优良特性，既能大幅度的压缩图像数据，又能很好的保留图像的绝大部分的信息。
Wavelet analysis is known as mathematical microscope, the multi-resolution analysis and a good ability of time-frequency analysis provides a new powerful tool for the signal processing.
小波分析被誉为数学显微镜，其多分辨率分析和良好的时频分析能力为信号处理提供了新的有力工具。
For high-resolution multi-spectral remote sensing image characteristics, the paper introduces a number of commonly used image processing techniques and proposes the improved wavelet fusion algorithm.
针对高分辨率多光谱遥感影像的特点，介绍了常用的一些图像处理技术，提出了改进的小波融合算法。
The good localization characteristics of wavelet functions in both time and frequency space allow hierarchical multi-resolution learning of input-output data mapping.
由于小波变换在时间和频率空间具有良好的定位特性，使小波神经网络可对输入、输出数据进行多分辨的学习训练。
The new algorithm mainly recurred to the ability of detecting singularity in signal by continuous wavelet transform and multi-resolution analysis of wavelet transform.
算法充分利用连续小波变换探测信号奇异性的能力和小波的多分辨率特性。
The new algorithm mainly recurred to the ability of detecting singularity in signal by continuous wavelet transform and multi-resolution analysis of wavelet transform.
算法充分利用连续小波变换探测信号奇异性的能力和小波的多分辨率特性。
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