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1)  resolution analysis
分辨率分析
2)  multi-resolution analysis
多分辨率分析
1.
Signal denoising based on a new adaptive threshold and wavelet multi-resolution analysis;
基于小波多分辨率分析和新的阈值自适应的信号去噪
2.
Image pyramid model dynamically reconstruction based on multi-resolution analysis of wavelet transform;
基于小波变换多分辨率分析特性的遥感影像动态重构的金字塔模型
3.
ECG baseline drift depress algorithm based on multi-resolution analysis;
基于多分辨率分析的ECG基线漂移矫正算法
3)  multiresolution analysis
多分辨率分析
1.
The application of multiresolution analysis method in NaI γ spectroscopy;
分辨率分析方法在碘化钠γ谱中的应用
2.
Application of wavelet transform to multiresolution analysis of seismic and log signals;
小波变换用于地震测井信号的多分辨率分析
3.
QRS complex detection based on multiresolution analysis;
基于多分辨率分析的心电图QRS波检测
4)  multi-resolution
多分辨率分析
1.
A method of noise reduction based on multi-resolution analysis in wavelet transform is proposed in this paper and used for localization of MEG sources.
基于小波变换的多分辨率分析 ,利用阈值化概念 ,本文提出了脑磁场源定位分析中的一种降噪方法。
2.
Based on the steerable wavelet multi-resolution principle,combining wavelet multi-resolution analysis and directional derivative operator,and improving the frequency property of filter,the two-dimensional multi-directional derivative wavelet filter bank was designed.
根据可操纵小波多分辨率分析的原理,将小波多分辨率分析与方向微分算子相结合,设计实现了基于二维多方向微分的小波滤波器组,提出了分辨率及方向均可调节的图像边缘检测方法。
3.
Multi-resolution processing can analyze signal at differ.
信号的多分辨率分析可以对信号进行多尺度分析,频带不同的各个波形在各尺度上的分量强度不同。
5)  MRA
多分辨率分析
1.
Based on the load data of meritorious power of a certain area power system,this paper establishes a WNN,a MRA & LMBP model,to carry out load forecasting work.
以某地区购网有功功率的负荷数据为背景,给出了小波神经网络——MRA(小波多分辨率分析)+LMBP(L-M优化算法的BP模型)组合负荷预测模型对电力系统短期负荷进行预测。
2.
In this paper, an effective method of data prediction based on wavelet MRA (Multiple Resolution Analysis) and AMFNN (Additive-Multiplicative Fuzzy Neural Network) is proposed to precisely research the changing traffic-flow in urban roads.
为了研究城市道路动态变化的交通流量,本文提出了在多分辨率分析(MRA)的基础上利用加乘模糊神经网络(AMFNN)进行预测的方法,并给出了交通流量的预测模型,同时,用实测的流量数据测试了模型的性能。
3.
Wavelet transform has the MRA characteristic and can make time-frequency analysis.
小波分析具有多分辨率分析和时频定位的特点,能够分析信号的局部特征。
6)  multi resolution analysis
多分辨率分析
1.
Based on multi resolution analysis (MRA) and the DWT (discrete orthogonal wavelet transform) theory,a new de noising filtering is presented in this paper Advantages of this approach are made both in algorithm and noise smoothing capability Examples are performed to illustrate the performance of the proposed filterin
本文从多分辨率分析出发 ,结合离散正交小波变换 (DWT)的理论 ,提出了一种在保护信号边缘的前提下有效去除脉冲噪声和白噪声的方法 ,该方法通过对各尺度下的未抽取前的小波系数进行非线性滤波处理 ,达到了在保护信号边缘的同时 ,有效去除白噪声及脉冲噪声的目的。
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。
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