Ultra - wide band radar is one of the trends in modern radar technology because of its ability in super - resolution . wavelets analysis is a promising approach to process ultra - wide band radar signal . it has tremendous potential to combine wavelets with ultra - wide band radar 现代雷达技术正朝着超宽带、超分辨、多功能、智能化的方向发展，小波变换对超宽带雷达信号的分析具有独特之处，小波变换与超宽带雷达信号处理的结合研究具有巨大的潜力。
In order to analyze the rotation noise further , a new method for measuring the amplitude and phase of each harmonic component of periodic signal mixtures is established based on the morlet transform and fourier transform in theory , which will provide scientific warranty for reducing noise of disk mill 为了进一步分析爪式粉碎机的旋转噪声，理论上利用morlet小波变换结合fourier变换对旋转噪声各次谐波成分的振幅和初相位的提取，作了初步探讨。
A face recognition algorithm based on improved bp neural network is proposed . first , wavelet transform is utilized to reduce both the dimension of face images and the data amount . then face images are normalized by illumination ratio image to overcome the influence of illumination variation 运用小波变换对人脸图像进行降维,在减小数据量的同时保持图像的基本信息;运用基于光照率图像的方法对图像进行光照校正,以改善光照变化对图像质量的影响;运用改进的bp神经网络对不同光照条件下的人脸图像进行识别。
In the first part of the paper , the development of motor control system fault diagnosis theory is summarized . on the basis of the analysis of the characteristics of wavelet , the theory is discussed and the definition of the singularity is given . because of the localization property of wavelet transform , wavelet analysis can be used to detect the characteristics of the singularity from the signal and intermittence fault problems lying in the motor under test 着重介绍了小波分析在电机控制系统故障诊断中的应用,根据小波理论在时域和频域良好的局部化性质,讨论了利用小波变换来检测信号的奇异特征的原理,给出了小波变换对信号奇异性特征检测的方法,针对实际应用,对小波基函数选取及小波分解尺度进行了探讨。
In this paper , wavelet analysis is applied in stack at the first time , instead of fourier transform , wavelet transform is applied in frequency division processing of seismic record , no matter in high frequency or low frequency window , the waveform of wavelet function is unchanged , and only change its amplitude and width , the waveform of shorten fourier function is changing in different frequency band 本文首次把小波分析引入到叠加处理中，用小波变换替代了傅立叶变换对地震记录进行分频处理，由于无论在高频或是低频窗内，小波函数的波形始终不变，只是其包络的幅度和宽度在改变，而窗口傅立叶函数在各频段的波形是变化的。
The content of this article mainly contains three parts as follows . 1 ) the conception of power quality and the general methods for power quality analysis 2 ) the theory of wavelet transform and its application 3 ) the theoretical foundation , the impractical implementation , the simulation experiments , the evaluation and the improvement of wavelet - based methods for power quality detection and classification 在论文中，读者将会了解到： 1 )电能质量的概念和分析方法2 )小波变换的基本理论和应用情况3 )利用小波变换对电能质量扰动进行检测和分类的算法原理、实现过程和仿真实验，以及作者对算法的改进和评价。
Based on the theoretical expression of the average intensity in the fourier transforming and imaging optical system with variable aperture , an algorithm is developed to change the intensity data versus the aperture radius into the bessel - fourier - transform - and - the - inversion of a function of the height - height correlation function . three samples of gaussian correlation are used for the experimental demonstration 在理论分析和实验测量中，我们采用了变孔径的傅立叶变换和成像系统，由所得到的像面光强的解析式，建立了将平均光强随孔径的数值变化关系转化为正逆傅立叶变换对，从而恢复出表面的高度?高度相关函数。
This paper studies the characteristic of scatter from moving target in the situation of bistatic sar with stationary transmitter . the wvd method is used in the paper to estimate the doppler frequency parameter of the moving targets ; the wvd - radon method is used to restrain the cross - term . then we can use the result to adjust the parameter of the filter , and to achieve the moving targets imaging of bistatic sar 本文分析了发射机固定的双站sar情况下的运动目标回波信号模型，应用wvd变换对发射机固定的双站sar回波的多普勒信号参数进行估计，并采用wvd - radon变换来抑制wvd的交叉项，以调整滤波器参数，实现发射机固定的双站sar对运动目标聚焦成像。
Firstly , we introduce the basic theory and methods for realization of sofm . subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation , select the eigenvector . combining c - avarage and isodata arithmetic , classify the eigenvector , according to the methods of this dissertation , in lower layer , set nerve cell and unite or delete nerve cells in middle layer , to improve the anti - huise - and robust 论文首先介绍了sofm的基本原理和实现方法，接着在其基础上对具体算法进行改进，用k - l变换对原始数据进行特征提取，选取出特征变量，结合c -均值和isodata算法对特征变量进行预分类，按照本文中介绍的方法在底层预置神经元，在中间层对神经原进行合并和删除，加强了该网络的抗干扰性和稳定性。
In this paper , we firstly design orientation filters based on directional image of fingerprint and employ them to denoise gray - scale image . then , we binarize the gray - scale image with local self - adaptive binarization smoothness algorithm and eliminate the noises from the binary image with fast fourier transform algorithm 本文先基于指纹的方向图设计出方向滤波器对原图像进行滤波去噪，然后使用局部平滑阈值自适应二值化算法，将灰度图像进行二值化，并采用快速傅氏变换对所得到的二值化图像进行去噪处理。
