1) optimization correlative filter
最优相关滤波
1.
The method in the on-line harmonics analysis is introduced briefly,setup the signal mathematic models in the on-line harmonics analysis including the adding noise and modulating noise,the paper states the specific harmonics analysis technical scheme based on the optimization correlative filter theory realized by digital-analog mixed multiplier.
介绍了基于数字模拟混合乘法器实现的最优相关滤波的谐波分析仪技术方案,通过电路原理分析,给出了谐波分析测量仪的具体实现方法,并做出结论。
2.
To improve the measuring accuracy of the electrical equipment dielectric loss angle,this paper introduces the use of optimization correlative filter to get the basal frequency signal and the use of the short time Fourier transform(STFT) interpolation harmonic method to restrain the influence of the long frequency chart leak.
为提高电气设备介质损耗角的测量精度,利用最优相关滤波法提取基波信号,通过短时傅里叶变换(STFT)插值谐波方法,抑制长频谱泄露的影响。
2) optimal filtering
最优滤波
1.
And then based on the optimal filtering theory of structure stochastic jump system,a new algorithm for infrared system distance estimation was proposed.
针对机动飞行的空中点目标,利用测量目标红外辐照度变化的测距原理,建立了具有Markov跳变参数的红外系统距离估计模型,基于结构随机跳变系统最优滤波理论,提出了一种新的红外系统距离估计算法。
2.
But there are few papers describing modeling-building,optimal filtering algorithms for this kind of systems.
本文研究了一类离散时间乘性随机系统,基于卡尔曼滤波算法的思想,分别给出此类系统不含输入项及含有输入项的递推最优滤波算法,得到的结果便于实际应用。
3.
In this paper,an optimal filtering method based on the Singular Value Decomposition (SVD)technique for Multi-Channel Systems with Multiplicative Noise is proposed.
提出 1种基于奇异值分解 (SVD)的多通道带乘性噪声系统的最优滤波方法。
3) optimal filter
最优滤波
1.
The Optimal Filter and Estimation of a Kind of the Random Signals of the Unmeasurable Components Based on Its Measurable Components in the Generalized Process;
一类广义过程非观测分量依可观测分量随机信号的最优滤波与估计
2.
Based on model matching approach,this paper presents an algorithm for designing optimal filter that minimizes the magnitude of the filter error,in the case of linear discrete-time system in which the process noise and measurement noise are unknown but magnitude bounded.
本文基于模型匹配方法提出了一种极小化误差幅值的线性系统的最优滤波器的设计方法 ,所考虑的过程噪声和量测噪声均为未知但幅值有界信号 。
3.
It is important for researchers to find which kinds of filtering equation are solvable and how to give representation of the optimal filter.
一般的线性非奇异滤波模型是可解的,它的最优滤波是Kalman-Bucy滤波。
4) optimum filtering
最优滤波
1.
Combining Hilbert-Huang Transformation with optimum filtering, because of the narrowness of the spectrum of Intrinsic Mode Functions and guided by the criterion of minimum mean square error,, the necessary and sufficient condition for optimum filtering of random waves was set up through variational calculus.
把Hilbert-Huang变换与最优滤波联系起来,利用内禀特征模态函数的窄谱性,以均方误差最小作为判据,运用变分法建立了随机波浪最优滤波的充要条件。
5) correlation filter
相关滤波
1.
Application of correlation filter in processing of microseismic data;
相关滤波在微地震数据处理中的应用
2.
Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis.
利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震资料与测井资料联合应用对孔隙度参数的平面分布预测。
3.
The principle and effection of correlation filter are also discussed in.
文中还对该仪器中所使用的相关滤波器原理及滤波效果等问题进行了讨论。
6) Correlation filtering
相关滤波
1.
By means of stepwise regression analysis, neural network, correlation filtering, CoKrige, and nonparametric regression, this article realizes the prediction of porosity distribution from seismic attributes and logging data.
利用逐步回归分析、神经网络、相关滤波、协克里金和非参数回归分析等方法 ,实现了由地震属性与测井资料联合应用对孔隙度参数的平面分布预测。
2.
On the basis of analyzing and summarizing existing methods for prediction of reservoir parameters, the paper comprehensively utilizes geologic and geophysical information and uses the methods for planar distribution prediction of porosity parameters such as gradual linear regression, correlation filtering, neural network, co-Kriging and non-parameter regression through m.
本文在分析总结已有的储层参数预测方法的基础上 ,综合利用地质、地球物理信息 ,通过数学统计等方法 ,采用逐步线性回归、相关滤波、神经网络、协克里金、非参数回归等预测孔隙率参数平面分布。
3.
The simulated signal analysis showed that the bearing defect characteristic frequency could be extracted effectively by means of Laplace wavelet correlation filtering.
Laplace小波相关滤波法计算两个信号的相关系数,可以有效地提取出信号中与Laplace小波波形相似的部分。
补充资料：相关成本与非相关成本（relevantcostandirrelevantcost）
成本按其发生是否与决策项目相关的分类。相关成本是指与制定决策方案有关的联影响的成本，例如当期是否接受一批订货，生产该批订货需要花费的各种成本，即为相关成本。如该批订货是一种特殊订货，即其价格低于以前生产这种产品的完全成本时，其相关成本就是生产该批产品的变动成本。如果生产该批订货需扩大生产能力时，相关成本就既包括生产的变动成本，还包括添置设备等所需的其他成本。机会成本、差量成本、现金支出成本、可避免成本等均属相关成本。
非相关成本是指与制定决策方案并无影响的成本，因而在决策时可不予考虑。命名如接受特殊订货时，原有固定成本就属于非相关成本，因为即使不接受这批特殊订货，这些固定成本也会照样发生，当有几种方案可供选择时，各种方案都需发生的成本就是非相关成本，如采用不同的生产工艺组织生产时，构成产品实体的原材料在各种生产工艺过程中都要发生，所以这些原材料成本便是非相关成本。不可避免成本、沉落成本等属于不相关成本。
非相关成本是指与制定决策方案并无影响的成本，因而在决策时可不予考虑。命名如接受特殊订货时，原有固定成本就属于非相关成本，因为即使不接受这批特殊订货，这些固定成本也会照样发生，当有几种方案可供选择时，各种方案都需发生的成本就是非相关成本，如采用不同的生产工艺组织生产时，构成产品实体的原材料在各种生产工艺过程中都要发生，所以这些原材料成本便是非相关成本。不可避免成本、沉落成本等属于不相关成本。
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