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the wavelet translation
相关语句
  小波变换
     In this paper, the situation and the destination of the heart sound study were introduced, at the same time, some methods which were used to research heart sound by these biomedical researchers since the 70's on the last century were introduced, they included the spectral analysis, the distribution of time-frequency, the wavelet translation, the matching pursuit, and so on.
     自上世纪70年代以来,由于计算机和现代数字信号处理技术的发展,生物医学工作者对心音进行了大量的分析研究熏相继运用了谱分析、时频分析、小波变换和最优匹配法等方法。
短句来源
     The wavelet translation with the adaptive time-frequency window could gain the characters that more reflect the symptoms of heart sound.
     具有自适应性时—频窗的小波变换可以得到更能反映心音病例特征的信息。
短句来源
  相似匹配句对
     d-Wavelet Set
     d-小波集
短句来源
     On wavelet processing
     子波处理方法的研究
短句来源
     On the Quaternion Wavelet
     关于四元数形式小波的研究
短句来源
     The Generalized Haar Wavelet
     广义Haar子波
短句来源
     translation.
     三是翻译。
短句来源
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New structure low intensity x-ray image system is mainly made of plane plate mode x-ray intensifier of single proximity focus and CCD data acquisition and processing system. In the paper,We explains the noise source and characteristic of the low intensity x-ray image system. Then the compound methods of the “multi-frame mean + morphological transform filter” is submitted which deals with the imaging noise. Firstly, some frame images is superimposed, then mean image is calculated from those images, which is under...

New structure low intensity x-ray image system is mainly made of plane plate mode x-ray intensifier of single proximity focus and CCD data acquisition and processing system. In the paper,We explains the noise source and characteristic of the low intensity x-ray image system. Then the compound methods of the “multi-frame mean + morphological transform filter” is submitted which deals with the imaging noise. Firstly, some frame images is superimposed, then mean image is calculated from those images, which is under the principle of noise non-correlation. Secondly, distinguishing with the conventional ways of morphological transformation filtering algorithm, the differential image information is referred to de-noising. The differential image which is obtained from the source image includes noise and some image details. After the noise of the differential image is cut off by the wavelet translation, the differential image is added to the last filtered image by the multi-scale morphological filter, then the clean image is achieved which has no noise but keeps the image details.

新型低强度X射线影像系统主要是由平板式单近贴静电聚焦X射线像增强器和CCD数据采集系统构成。文章简述了低强度X射线影像系统的图像噪声来源和特点 ,并根据图像噪声的特点 ,先进行多帧叠加平均预处理 ,再进行数学形态学滤波。区别于传统的形态滤波方法 ,在多尺寸形态滤波的基础上 ,引入差分图像的概念 ,先得到一组包含不同尺寸的噪声和图像信息的差分图像 ,将各个差分图像应用小波变换去噪后 ,与最后一级形态滤波平滑的图像相加 ,就得到了既去除噪声又保留图像细节的目标图像 ,通过对峰值信噪比的计算 ,表明该方法能取得较好效果。

In this paper, the situation and the destination of the heart sound study were introduced, at the same time, some methods which were used to research heart sound by these biomedical researchers since the 70's on the last century were introduced, they included the spectral analysis, the distribution of time-frequency, the wavelet translation, the matching pursuit, and so on. The spectral analysis is not suit for analyzing the typical non-stationary stochastic signal. These researchers on the world have...

In this paper, the situation and the destination of the heart sound study were introduced, at the same time, some methods which were used to research heart sound by these biomedical researchers since the 70's on the last century were introduced, they included the spectral analysis, the distribution of time-frequency, the wavelet translation, the matching pursuit, and so on. The spectral analysis is not suit for analyzing the typical non-stationary stochastic signal. These researchers on the world have reduced the cross-terms on the distribution of time-frequency by nuclear function or fuzzy function. The wavelet translation with the adaptive time-frequency window could gain the characters that more reflect the symptoms of heart sound. The matching pursuit is the analysis of time-frequency without the cross-terns.

自上世纪70年代以来,由于计算机和现代数字信号处理技术的发展,生物医学工作者对心音进行了大量的分析研究熏相继运用了谱分析、时频分析、小波变换和最优匹配法等方法。谱分析不适合对非平稳随机心音信号的分析。国内外工作者通过加核函数和采用模糊函数等方法来减少时频分布中的交叉项。具有自适应性时—频窗的小波变换可以得到更能反映心音病例特征的信息。最优匹配法是一种没有交叉项的时频分析方法。

 
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