1) LMVM
LMVM滤波法
2) filtering algorithm
滤波算法
1.
Efficiently suppressing impulsive noise using nonlinear filtering algorithm;
用非线性滤波算法有效抑制冲激噪声
2.
A filtering algorithm for 2D ground-to-air single station passive location
二维地对空单站无源定位滤波算法研究
3.
This paper proposes a novel filtering algorithm to extract the accurate fundamental and integer harmonic frequency component by means of a set of linear equations,which is transformed from a non-linear equation representing the error in discrete Fourier transform affected by decaying dc.
通过构建精确求解基频及整次谐波分量的非线性方程以及将其转化为线性方程进行求解,并针对离散化积分引入的误差进行修正,提出一种能完全滤除衰减直流分量的高精度、高稳定的滤波算法。
3) 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。
4) 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。
5) filter algorithm
滤波算法
1.
System of voltage acquisition based on filter algorithm;
基于滤波算法的电压采集系统
2.
This paper propose a novel alterative step LMS auto-adapted filter algorithm based on mean squared-error estimation.
介绍了一种基于均方误差估计的新变步长LMS自适应滤波算法。
3.
The synthetical tracking capability is enhanced using the filter algorithm based on this model.
针对Singer模型的缺陷和“当前”统计模型存在的对弱机动目标跟踪能力较差的缺陷进行了改进,设计了一种新的加速度自适应模型;利用该模型设计出新的机动目标跟踪滤波算法,该算法对机动目标跟踪的综合性能有了较大的提高。
6) Filter method
滤波方法
1.
The choice algorithm of fuzzy control parameter in the filter method of fuzzy control is discussed.
语音信号处理技术的基本概念和发展过程;用基于短时分形维数的模糊控制滤波方法,对语音信号中的噪声进行了滤波处理;提出了网络分形维数和短时分形维数的新算法,并讨论了模糊控制滤波方法中的模糊控制参数的选取问题;给出了在虚拟仪器(VI)LabVIEW7。
补充资料：法性属法为法性土
【法性属法为法性土】
谓真如法性之理，譬如虚空，遍一切处，乃是法身所证之体，即为所依之土，故名法性属法，为法性土。
谓真如法性之理，譬如虚空，遍一切处，乃是法身所证之体，即为所依之土，故名法性属法，为法性土。
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