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1)  Kalman filter
Kalman滤波法
1.
This paper presents a new way to estimate the measurement variance of noise in the analytical chemistry signals for the Kalman filter by means of implementing the wavelet analysis, according to that wavelet transformation can separate the noise in high frequency band from the original signal.
根据小波变换能从原始信号中分离高频段噪声的特性 ,本文提出一个用小波分析法从分析化学信号中估计Kalman滤波法所需要的噪声测量方差的新途径。
2.
Compared with traditional ones such as Kalman filter and least squares, the technique results in more accurate estimations of OD split proportions.
与诸如Kalman滤波法和最小二乘法等方法相比,该技术会使得OD分配比例的预测更加精确。
3.
Based upon the principles of Kalman filter method,the authors defined a new parameter,relative chemomic error(ε),to evaluate the asynchronous nature of the components in TCMs,and a derivative parameter as synchronization factor(SF) to quantify the synchronicity of the chemome .
基于Kalman滤波法原理,定义了化合物组异步性特征参数"化合物组相对误差(relative chemomic error,ε)",并据此建立同步性参数"同步性因子(synchronization factor,SF)"和反映化合物组释放同步性的参数"平均同步因子(average synchronization factor,SFav)"等评价参数。
2)  Kalman filter method
Kalman滤波法
1.
The released chemomic levels of TCMs were processed by Kalman filter method with stochastic simulation data as an illustration of the methodology feasibility.
方法:基于中药化合物组的整体谱特征,运用Kalman滤波法,计算获得溶出介质中化合物组含量,建立多组分中药的化合物组释放/溶出动力学评价理论;采用随机模拟数据,验证Kalman滤波法评价化合物组释放度的可行性,举例说明多组分中药化合物组释放/溶出动力学的计算方法。
2.
And combined with project example,it introduces the application of Kalman filter method in linear control,points out that the key problem of linear control is deciding the construction camber of beams.
通过对预应力混凝土连续箱梁桥悬臂浇筑施工的研究,阐述了线形控制的基本原理,并结合工程实践介绍了Kalman滤波法在线形控制中的应用,指出线形控制的关键问题在于合理确定梁段施工预拱度。
3)  Kalman filtering method
Kalman滤波方法
1.
Multi-sensor information fusion optimal white noise de-convolution filter based on Kalman filtering method;
基于Kalman滤波方法的多传感器信息融合最优白噪声反卷积滤波器
2.
By using the Kalman filtering method and the linear minimum variance optimal fusion rule weighted by matrices,a multisensor information fusion Wiener filter is presented for the multichannel autoregressive moving average(ARMA) signals with white observation noise.
应用Kalman滤波方法,在按矩阵加权线性最小方差最优信息融合规则下,提出了带白色观测噪声的多通道ARMA信号的多传感器信息融合Wiener滤波器。
4)  Kalman filtering algorithm
Kalman滤波算法
1.
The scheme is based on Kalman filtering algorithm and its fast convergencey speed.
这种技术基于Kalman滤波算法和它快速的收敛速度,通过改变OFDM系统和接收端的设计参数来研究载波频率及估计器在接收端错误率中的影响。
5)  Kalman filtering correction
Kalman滤波器法
1.
In this paper, we introduce the approach of constant range correction, Kalman filtering correction and trace along trajectory correction.
本文介绍了恒定范围统计法、Kalman滤波器法和轨迹跟踪法。
6)  extending Kalman filtering method
扩张Kalman滤波法
1.
Based on different defect velocities in the simulated model, the stability of the extending Kalman filtering method is illustrated by the simulation calculation.
利用扩张Kalman滤波法求解超声波CT反演计算中的大型稀疏方程组。
补充资料:adaptive Kalman filter
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性质:在利用测量数据进行滤波的同时,不断地由滤波本身去判断系统的动态是否有变化,对模型参数和噪声统计特性进行估计和修正,以改进滤波设计,缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。

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