变换分析 meaning in English
transformanalysis
Examples
- Subsequently , using the focusing character of wavelet transform in analyzing signal , it recommends the theory of testing signal singularity and the route of analyzing pipeline mfl signal by wavelet transform . then , compared the result with fourier transform , wavelet transform ' s superiority and validity are validated in analyzing pipeline mfl signal
随后，利用小波变换在分析信号时的聚焦特性，介绍了信号奇异性检测理论以及用小波变换分析管道漏磁信号的途径，并与传统的傅立叶分析作比较，从而验证了小波变换用于管道漏磁信号分析的优越性和有效性。 - Based on the conventional statistic methods and mexican hat wavelet , the geographical distribution of sunshine duration and wind velocity and their annually , and inter - decadal changes in recent 40 years are analyzed using daily sunshine duration and wind velocity data of 6 stations in naqu from 1961 to 2000
摘要利用那曲地区6个气象站1961 - 2000年逐日日照时数和风速资料，采用常规统计方法和墨西哥帽小波变换分析那曲地区近40年日照时数和风速的地理分布以及年内、年际、年代际变化规律。 - ( 3 ) though the conventional fourier power spectral analysis can reflect the common characteristics of the signal , it cannot provide the fine structure of time - frequency changes and the location of the jump points , while the wavelet transforming can better the situation
传统的功率谱分析方法虽然能反映气候信号变化的一般特征，但无法反映时频域变化的精细结构，也不能给出突变点的具体位置；而小波变换分析方法则可以很清楚地给出气候信号变化的多层次结构和突变特征。 - On character extraction , the thesis regards handwriting images as texture images , and excogitates analyzing handwriting images with ( 2 , 10 ) integer - to - integer wavelet transform innovatively , that is , analyzing texture images with ( 2 , 10 ) integer - to - integer wavelet transform mainly , and denoting eigenvectors of handwriting images with integer - to - integer wavelet coefficients , the thesis defines an 18 - dimension eigenvector . ( 2 , 10 ) integer - to - integer wavelet transform can extract the high pass of images effectively , high pass is the details of images , and analysis of texture images is mainly for the details
在笔迹图像的特征提取上，文章把笔迹图像当作纹理图像来看待，创新地提出用( 2 ， 10 )整数小波变换来分析笔迹图像，即主要用( 2 ， 10 )整数小波变换分析纹理图像，用纹理图像的整数小波系数来表征笔迹图像的特征向量，文章定义了一个18维的特征向量。 ( 2 ， 10 )整数小波变换能够很好地提取图像的高频部分，高频部分在图像中表现为细节，而对纹理图像的分析主要是对细节的分析。 - The paper introduces the fundamental theories and characters of wavelet transform , especially the multi - resolution analysis and band - pass filtering characters , puts forward the optical realization of wavelet transform of 1 - d and 2 - d signals , analyzes the optical filter systems with wavelet transform , improves the feasibility and advantages of wavelet transform used into optical information processing . as a practical and typical application of optical - wavelet - transform in the field of optical information processing , the paper makes a fairly detailed study on the special information extraction of an optical image with a wavelet - filtering system
本文详细介绍了小波变换的基本理论和性质，重点叙述了小波变换的多分辨率特性和带通滤波特性，分析了光的衍射现象与小波变换之间的内在的联系，提出了广义小波变换的概念，为光学小波分析奠定了理论基础，给出了一维和二维信号小波变换的光学实现方法，用小波变换分析了光学滤波系统，证实了小波变换用于光学信息处理的可行性和优越性。