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1)  integral length scale
积分尺度
1.
Research of turbulent flow integral length scale on the bottom boundary layer in the Pearl River;
珠江河口底边界层湍流积分尺度研究
2)  Lagrangian integral time scale
Lagrangian积分时间尺度
1.
The Lagrangian integral time scale of particles monotonically increased as the magnitude of the particle response time increased, while that of the fluid seen by particles remained rela.
颗粒的Lagrangian积分时间尺度随颗粒惯性单调增加,颗粒所见流体速度的Lagrangian积分时间尺度保持相对稳定;当颗粒的弛豫时间尺度与流体的Kol mogorov时间尺度相当时,流体Lagrangian积分时间尺度有较大偏离。
3)  turbulence integral scale
湍流积分尺度
1.
In this paper,the fluctuation characteristics of turbulence integral scale and wind speed spectra of near ground typhoon are studied based on the four sets of long time record of wind speed and wind direction during the passages of typhoon.
基于4个台风过程中的长时间序列风速、风方向观测数据,分析研究了近地台风的湍流积分尺度和脉动风速谱等脉动特性。
2.
The turbulence integral scale is smaller than that of the AIJ recommendation.
对结构高度为492 m的上海环球金融中心大楼顶部所测得的两个时间段的良态风速样本进行了分析,结果表明,湍流度随平均风速增大而减小;阵风系数随平均风速的增大开始有减小趋势,之后基本保持不变,随湍流度增大而增大;脉动风湍流积分尺度比日本建筑荷载的建议值小;两个时间段实测得到的阵风系数与湍流度之间的线性拟合结果较为接近;纵向、横向脉动风功率谱和Von-Karm an谱比较,在低频段略有偏差,而在高频段符合较好。
4)  multiscale product
多尺度积
1.
A novel image fusion algorithm named MPLVDDWT(multiscale product local variance of dyadic discrete wavelet transform) is proposed which is based on the local statistic of the multiscale products of wavelet transform.
提出了一种新的基于小波变换多尺度积局部区域统计量的图像融合算法,简称MPLVDDWT(multiscale product local variance of dyadic discrete wavelet transform)算法。
2.
The paper presents a new heart sound denoise method,which uses multiscale product to locate the first sound(S1) and second sound(S2) in each heart beat cycle and the durations of S1 and S2 to estimate these signals and the noise,avoiding the undesirable error caused by using ECG-Gating to locate the S1 and S2.
介绍了一种新的心音去噪方法,利用小波域多尺度积的方法定位第1、第2心音在各个心音周期的位置,并利用其持续时间估计有用信号及噪声,达到去噪的效果,避免了通过ECG-Gating在时域提取噪声时的误差。
5)  multi-scale product
多尺度积
1.
The first step is to detected edge image and feature points by using wavelet multi-scale product.
该方法首先利用小波多尺度积准确地提取边缘图像和特征点,然后根据特征点的角度直方图得到的旋转角度,并通过计算所有特征点对在边缘图像中的对齐度来精确地确定匹配点对。
2.
A new approach for image regis-tration based on wavelet multi-scale product.
本文提出了基于小波变换多尺度积的图像配准算法。
3.
In this method,feature points as well as their orientation are extracted using wavelet multi-scale products and the mutual information mapping criteria for the feature points is defined to obtain the matching points.
它首先利用小波多尺度积提取两幅图像的特征点及其角度信息,再根据得到的特征点和角度信息,定义了特征点对互信息匹配准则,得到相应的匹配点对。
6)  multi-scale product
尺度乘积
1.
Denoising method based on combining multi-scale product with wavelet shrinkage;
基于尺度乘积与小波收缩相结合的去噪方法
2.
In order to filter the noise in image,a method based on multi-scale product and dependencies using stationary wavelet transform for denoising is proposed.
为了去除图像的噪声,提出了一种基于尺度乘积和尺度相关性的平稳小波变换图像去噪方法。
补充资料:变尺度法
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性质:变尺度法是在解无约束极值问题的梯度法基础上发展起来的,它利用递推的方法计算目标函数的二阶导数及其逆阵,减少了计算量,同时比梯度法收敛快,是目前解决无约束极值问题的最有效的算法之一。

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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