1) wavelet multi-resolution analysis

小波多分辨分析
1.
Application of Wavelet Multi-Resolution Analysis in Fault-Detection;

小波多分辨分析在机械故障诊断中的应用
2.
Based on a 2-D discrete wavelet multi-resolution analysis for gravity anomalies in Eastern Tarim Basin and Tianshan orogenic belt,this paper presents a calculation of the waveleng the wavelength range and the depth of sources for different level details and approximation of Bouger gravity anomalies.
通过对塔里木盆地及天山东部地区布格重力异常的二维离散小波多分辨分析,计算了各阶逼近和细节的波长与场源深度,并对分解结果进行了地质构造解释。
3.
In this paper, a method based on wavelet multi-resolution analysis for fault-detection is presented.
应用小波多分辨分析的方法,较好地处理了机械设备故障冲击信号富含的高频和故障信号出现的频率的低频的关系,使得机械故障的诊断结果更加准确,在实际应用中取得了良好效果和较大的经济效益。
2) Wavelet multiresolution analysis

小波多分辨分析
1.
A pitch detection algorithm based on wavelet multiresolution analysis and its Simulink implementation;
基于小波多分辨分析的基音检测算法及Simulink实现
2.
Based on wavelet multiresolution analysis theory, this paper proposes a novel method for multirate sampled_data systems identification.
基于小波多分辨分析理论并结合面向控制的辨识思想 ,提出一种多率采样系统分频段加权辨识方法 。
3) Multi-resolution analysis of wavelet packet

小波包多分辨率分析
4) multiresolution wavelet analysis

多分辨率小波分析
1.
Based on the principle of multiresolution wavelet analysis,a new filter for suppression speckle in SAR is proposed.
利用多分辨率小波分析的理论 ,分析了SAR图像经多分辨率小波分解后生成的系列子图像中信号与斑点噪声能量分布特性及其信噪比的变化规律 ,提出了一种新的小波域斑点噪声的滤波算法 ,该滤波算法的阈值取决于各细节子图像的序列长度、方差及其所在的层次 ,并采用真实SAR数据和模拟加噪图像进行了试验。
2.
The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
在图像的多分辨率小波分析的基础上 ,采用高斯 -马尔可夫随机场模型来描述图像的局部特征 。
5) multiresolution analysis of wavelet transformation

小波变换多分辨分析
1.
Methods The PCG signals were decomposed into different frequency bands by multiresolution analysis of wavelet transformation.
方法 利用小波变换多分辨分析将PCG信号分解成不同的频带 ,然后按时间顺序分段计算频段的规一化香农能量 ,能量大于某一合适阈值的时刻作为S1和S2 的候选点 ,结合心音的特点确定S1和S2 。
6) 2-D wavelet multiresolution analysis

二维小波多分辨率分析
1.
1-D power quality event data were transformed to be 2-D after event data were cut off and reconstructed according to an integer multiple of data period;2-D wavelet multiresolution analysis was performed to decompose the 2-D data to an array of wavelet coefficients;and EZW was applied to complete compression.
故障数据按整周期倍数进行截断和重组,一维电能质量故障数据变换为二维;二维小波多分辨率分析分解此二维数据得到小波系数;应用嵌入式零树小波编码完成压缩。
补充资料:高分辨电子显微镜(见高分辨电子显微术)
高分辨电子显微镜(见高分辨电子显微术)
high resolution electron microscope
高分辨电子显微镜high resolution eleetronmieroseope见高分辫电子显微术。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条