1) moving window estimation
移动窗口估计
2) moving window covariance estimation
移动窗口协方差估计
1.
An adaptive filtering based on moving window covariance estimation is introduced after the shortcomings of covariance matrices formed by windowing residual vectors, innovation vectors and correction vectors of the dynamic states are analyzed.
基于移动窗口协方差估计和方差分量估计 ,提出了一种新的自适应Kalman滤波技术。
3) moving window
移动窗口
1.
Landscape pattern in Northeast China based on moving window method
基于移动窗口法的中国东北地区景观格局
2.
Firstly, along the whole spectral region, a series of PLS models were built in moving window, and then the informative regions with small error could be located.
为此本研究提出先用移动窗口偏最小二乘法(MWPLS)从宽谱区中初选出信息区间,再采用改进的迭代遗传算法(IGA)从中选出最优的信息子区间。
3.
In the paper,a simple and applied fast filter-median filter with moving window is introduced.
本文将介绍一种简单、实用的快速滤波算法———移动窗口中值滤波算法,并采用MIT-BIH Arrhythmia Database以及Euro-pean ST-T Database中的数据进行大量的实验验证。
4) Shiftable window
可移动窗口
5) moving split-window technique
移动窗口法
1.
In the agriculture-pasturage ecotone of Northern China, a typical zone with linear boundary of cropland and grassland was chosen to investigate its soil moisture regime, and the moving split-window technique was adopted to study the edge influence of soil moisture at the boundary.
在华北农牧交错区,选择线状边界的农田与草地典型区进行调查与土壤水分测定,采用移动窗口法,对农田-草地景观界面表层(0～20cm)土壤水分影响域进行研究。
6) parzen window probability estimation
Parzen窗口密度估计
补充资料：MS窗口系统
MS窗口系统
MS-Windows
MS ehuangkoU xltongMS窗口系统(MS.、Vindows)参见windo桃操作系统。
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