1) wavelet coupled threshold
小波耦合阈值
1.
As Gaussian filter will result in over-smoothness and edge movement of the original image in the Canny edge detection,a new algorithm is proposed in which the Gaussian filter is replaced with the nonlinear wavelet coupled threshold.
针对Canny型边缘检测算法中高斯滤波对图像造成过度平滑及边缘移位的现象,论文提出了用非线性小波耦合阈值代替高斯滤波的一种新型边缘检测算法。
2) coupled shrinkage
耦合阈值
3) wavelet threshold
小波阈值
1.
Application of wavelet threshold denoising method in the fluorescence analysis of pesticides;
小波阈值去噪法在农药荧光分析中的应用
2.
Analysis of selection rules of wavelet threshold in gravitational abnormal data processing;
海洋重力异常数据处理中小波阈值选择规则分析
3.
Imaging restoration for sparse aperture optical systems based on wavelet threshold and Wiener filtering;
基于小波阈值法和维纳滤波的稀疏孔径光学系统成像的恢复
4) wavelet thresholding
小波阈值
1.
A new speech enhancement method based on multitaper spectrum method and wavelet thresholding is proposed so that a noisy speech power spectrum is obtained.
提出了基于多窗谱法和小波阈值法对带噪语音的短时功率谱进行估计的语音增强改进方法。
2.
It also analyzes for four models how the bias and variance of the multitaper spectrum are affected by the tapers number and estimation noise removal via wavelet thresholding,and further compares them with those of periodograms.
以四种信号模型为例,分析了窗口数和小波阈值法去除估计噪声对多正弦窗谱估计的偏差和方差的影响,并与周期谱图进行了比较。
3.
In theory of estimation with wavelet thresholding, the threshold adapting data can be cal- culated by minimum estimation of risk to improve the SNR of estimation.
根据小波阈值估计理论,通过最小化风险的估计,可计算自适应于数据的阈值,提高估计的信噪比。
5) Wavelet shrinkage
小波阈值
1.
A new multi-scale edge detection is proposed,in which we replace Gaussian filter in adaptive multi-scale edge detection with rotationally invariant wavelet shrinkage,and the filter scale set is determined by sampling exponentially,not by equidistantly.
在自适应多尺度边缘检测算法中用旋转不变小波非线性阈值代替原来的高斯滤波做平滑,并对尺度指数采样产生尺度集合,以确定边缘像元的最佳尺度,得到基于旋转不变小波阈值的多尺度边缘检测算法。
2.
Chambolle and Lucier proposed a new nonlinear scale space based on wavelet shrinkage.
Chambolle和Lucier用小波阈值建立了一个新的非线性尺度空间。
6) wavelet soft-threshold
小波软阈值
1.
Application of wavelet soft-threshold de-noising and GRNN in monthly load forecasting
小波软阈值去噪和GRNN网络在月度负荷预测中的应用
2.
This paper presents a comprehensive forecast model integrating wavelet soft-threshold with general regression neural network(GRNN).
由于中长期电力系统负荷数据相对较少,影响因素广泛,常用的负荷预测方法很难达到满意的精度,所以提出一种结合小波软阈值和广义回归神经网络的综合预测模型,该模型充分考虑了长期负荷数据相对较少和影响因素广泛的特点,把负荷预测看作一个信号序列,应用小波去噪原理,将信号与噪声分离,然后利用广义回归神经网络进行预测。
3.
An analysis method is presented,which uses improved wavelet soft-threshold denoising technology to preprocess the data of low frequency oscillations,and then Prony algorithm to extract the oscillation character.
提出了一种利用改进的小波软阈值去噪技术,首先对电力系统低频振荡数据进行预处理,然后采用Prony算法提取低频振荡信号特征的分析方法。
补充资料：地理阈值
亦称地理临界值。它将地理系统中的不同状态加以分隔与区分，把某一性质的表现范围加以限制和说明。在此种意义上，地理阈值代表了系统的“状态空间”的非连续性。在一般叙述中，常把地理阈值等同于地理系统边界条件，但二者是有区别的：如果两种不同的状态同时存在于相同的边界条件之中时，地理阈值的表现可能是“非传递性”的转移；而当两种不同状态分置于不同的边界条件之中时，地理阈值的表现可能是“过渡性”地转移。无论是非传递性转移的地理阈值，还是过渡性转移的地理阈值，都使地理系统中不可能具备唯一的、通用的或稳定的解。所谓“解”都是有条件的，都是在地理阈值约束下的解。
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