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filter算法
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  filter algorithm
     SQP—filter Algorithm for Wholesale Chemical Process Optimization
     大规模化工过程优化中的SQP—filter算法
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     Furthermore, we introduce the Bloom Filter algorithm into the database lookup processing, which can improve the detection performance and self-security.
     此外,本文将Bloom Filter算法引入到数据库的查找过程中,提高了检测的性能以及检测模型自身的安全性.
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  “filter算法”译为未确定词的双语例句
     Two algorithms for attributes reduction integrated with the consistency criterion are presented. Experimental results shows that consistent attribute subsets outdo other reducts.
     设计了一种全局最优算法和一种次优filter算法,从分类正确率、最简性及类内类间距离方面对一致性判据JC进行了测试,实验结果显示一致性高的属性约简集优于其他约简集。
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     The algorithm is an extension of the two-valued cover-most algorithm proposed by M. C.
     该算法是M. C.
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     Routing algorithm based on distance-weighted Bloom filter
     基于距离加权Bloom filter的网络路由算法
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     AN EXTENDED D-ALGORITHM
     扩展D算法
短句来源
     SQP—filter Algorithm for Wholesale Chemical Process Optimization
     大规模化工过程优化中的SQP—filter算法
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  filter algorithm
Compared the simulation results of Kalman filter algorithm with the least square algorithm and explicit solution, it is indicated that the Kalman filter algorithm is the best.
      
A filter algorithm for multi-measurement nonlinear system with parameter perturbation
      
In this paper, an adaptive digital filter algorithm is presented to optimize the signal-to-noise ratio of an antenna array with multiuser signal inputs.
      
An inverse Q-filter algorithm based on stable wavefield continuation
      
The quantitative separation of overlapped responses accomplished by the Kalman filter algorithm is deteriorated by the errors in the model due to shifts of the component peaks.
      
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In this paper is studied the numerical instability in a finite-precision digital implementation of unnormalized FTF (Fast transversal filter) algorithms, which were developed by J. M. Cioffi and T. Kailath. As a result, a modification is proposed and the improved FTF algorithm is given. The new version possesses much better numerical stability even in 16-bit precision or lower, and still has the advantages of transversal filter algorithms. This research is valuable to the various applications of realtime adaptive...

In this paper is studied the numerical instability in a finite-precision digital implementation of unnormalized FTF (Fast transversal filter) algorithms, which were developed by J. M. Cioffi and T. Kailath. As a result, a modification is proposed and the improved FTF algorithm is given. The new version possesses much better numerical stability even in 16-bit precision or lower, and still has the advantages of transversal filter algorithms. This research is valuable to the various applications of realtime adaptive filtering, which attracts great research attention and interests.

本文研究了J.M.Cioffi与T.Kailath提出的非归一化FTF(Fast transversal filter)算法在有限精度数字实现时的数值不稳定性,提出了一种改进措施并给出了相应的修正FTF算法。新算法在16比特或更低精度时仍具有良好的数值稳定性,并具有横向滤波器算法的各种优点。这一研究对于目前广为讨论的实时处理自适应滤波应用来说,是有价值的。

RAN(Resource Allocating Network) is a single hidden layer network, its hidden units are Gaussian radial basis function. RAN starts with no hidden units and grows by allocating hidden units based on novel criterion. First, we arrive at a initial network by RAN. Second, we tuned the parameters of the neural network by EKF(Extended Kalman Filter) algorithm. The advantages of RAN include quick learning, high accuracy and compact forms. It also can be applied in real time system.

RAN(Resource Allocating Network)是一种基于径向基函数的单隐含层神经网络 ,开始时无隐含节点 ,可根据新颖性准则来决定是否增加隐含节点 ,故有效避免了网络结构 (隐含节点个数 )和初始网络参数难以选取的缺点。本文首先利用 RAN得到网络的初始结构及参数 ,然后利用扩展的卡尔曼滤波器 EKF(Extended Kalman Filter)算法对网络参数进行调整 ,这相当于在粗调的基础上对网络参数进行细调。该网络具有学习速度快、精确度高、结构紧凑的优点 ,并可进一步应用于实时系统中

A new method is presented to determinate the moving vehicle's attitude & attitude rates using global positioning system(GPS) carrier phase measurements. The extended Kalman filter is used to estimate the attitude and attitude rates, and the state propagation model of estimator is established by using the linear tracking theory. This method has more simple style than normal nonlinear Euler equation. The principle is deduced in detail. The measuremental equation is used to solve the attitude matrix evolution based...

A new method is presented to determinate the moving vehicle's attitude & attitude rates using global positioning system(GPS) carrier phase measurements. The extended Kalman filter is used to estimate the attitude and attitude rates, and the state propagation model of estimator is established by using the linear tracking theory. This method has more simple style than normal nonlinear Euler equation. The principle is deduced in detail. The measuremental equation is used to solve the attitude matrix evolution based on the concept of integrated rate parameters. Simulational experiments indicate that this method is effective and efficient for providing precise resolution of attitude. Because the attitude rate can be estimated, the method has a good ability of tracking the variety of vehicle's attitude. Due to the estimation of the attitude rate, the new method can be used in the system. The system can combine GPS with other sensors, and the combination can provide more precise attitude and attitude rate.

提出了一种利用 GPS载波相位信号 ,基于积分角速率参数 IRP( Integrated rate param eters)的概念 ,并借助于扩展的卡尔曼滤波 ( Extended Kalman filtering)算法进行载体的姿态及姿态变化率估计的新方法。利用线性跟踪理论建立动态方程 ,使动态方程形式简单 ,意义明确 ;利用 IRP的概念 ,通过解决姿态矩阵的递推过程 ,建立载波相位的观测方程。仿真试验结果表明 ,本算法具有计算效率高、实时性好、测姿态精度高等优点 ;并且 ,由于同时对姿态率进行跟踪估计 ,因而表现出对载体机动性较强的跟踪能力

 
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