1) Suboptimal filtering and smoothing
次优滤波与平滑
2) smoothing and filtration
平滑与滤波
1.
And the technology of smoothing and filtration would reduce the influence of random error effectively.
通过分析误差产生的原因,采用平滑与滤波的技术有效地减少了随机误差对结果的影响。
3) filtering and smoothing
滤波与平滑
1.
Two algorithms, which we call “curve reconstruction algorithmbased on filtering and smoothing”.
某些曲面重构问题,可以转化为曲线重构问题来研究,基于此,本文着重研究了一类光滑、无自交的简单曲线的重构问题,分别提出了基于滤波与平滑的曲线重构算法和一种基于控制顶点扰动的增量算法。
4) sub-optimal filter
次优滤波
1.
To realize system exact control,get actual states of controlled device,eliminate the dithering influence caused by dynamic noise and measure noise,enhance smoothness of response,this paper designs a sub-optimal filter,which has less numeration and much better real-time response better than kalman,and thus .
设计了计算量小、实时性好于Kalman滤波器的次优滤波器,从而实现倒立摆的快速平稳控制。
5) wavelet decomposition and weighted smoothness
小波滤波与加权平滑
6) smoothing filter
平滑滤波
1.
Smoothing Filter for Color Image Using Discrete K-L Transformation;
基于离散K-L变换的彩色图像平滑滤波
2.
An Improved method based on Smoothing Filter-based Intensity Modulation for image fusion
一种改进亮度平滑滤波调节图像融合算法
3.
The algorithm is relatively simple and efficient by adopting the cubic B-spline to design a smoothing filter.
采用三次B样条小波设计的平滑滤波窗算子,实现相对简单、效率较高。
补充资料：输出反馈(见线性二次型次优控制)
输出反馈(见线性二次型次优控制)
output feedback
3h日c卜口fon以以{输出反馈型次优控制。(output王eedbaek)见线性二次
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