Description: 设置kalman滤波器中噪声大小以及状态状态转移矩阵,测量向量,就可以进行目标的跟踪。-Kalman filter settings in the noise size, and the state of state transition matrix, measurement vector, we can target tracking. Platform: |
Size: 2048 |
Author:张瑞娟 |
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Description: 编译原理:构造LR(0)项目并输出其NFA状态转换矩阵
要求:构造一程序,对任意给定的文法G:
(1)构造并输出G的所有LR(0)项目;(2)用这些LR(0)项目构造并输出识别文法活前缀的NFA(输出其状态转换矩阵)。
-Compilation Principle: Structure LR (0) projects and export its NFA state transition matrix requirements: one procedural structure of any given grammar G: (1) structure and the output G of all LR (0) projects (2) use these LR (0) item recognition grammar structure and output of live prefix NFA (the output of its state transition matrix). Platform: |
Size: 314368 |
Author:jiabin |
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Description: 对基于状态转换矩阵表示的FA转换成NFA,初始化数据从文件读入。-State transition matrix based on the FA that convert NFA, initialization data from the document read. Platform: |
Size: 2048 |
Author:liufan |
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Description: 对给定的正规式r1、r2,已知它们的NFA分别为M1、M2(其状态转换矩阵及初态、终态信息分别保存在指定文件中)。构造一程序,由此程序构造正规式r1r2(连接运算)的NFA(将其状态转换矩阵及初态、终态信息保存在指定文件中)。-Given formal type r1, r2, known to the NFA that they were M1, M2 (the state transition matrix and the initial state, final state information were kept in the designated file). Construction of a procedure, the resulting program structure formal ceremony r1r2 (connected computing) of the NFA (its state transition matrix and the initial state, final state information saved in the specified file). Platform: |
Size: 101376 |
Author:刘家兵 |
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Description: 这是一个分析数字出现规律的算法,可以分析前后数字出现的规律,其中也可以产生概率转移矩阵-This is an analysis of the law of the algorithm there can be analysis of the law before and after figures, which also can generate the probability transition matrix Platform: |
Size: 1024 |
Author:treat |
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Description: 金融算术,计算VAR值,蒙特卡洛算法,等-CreditCruncher computes the Value At Risk (VAR) of large credit portfolios using the Monte Carlo method. Keywords: ratings, transition matrix, survival functions, correlations, copulas, VAR, Expected Shortfall Platform: |
Size: 1056768 |
Author:NeilCeon |
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Description: 稳态kalman滤波算法仿真通式
本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t)
y(t)=H(t)*x(t)+v(t)。有6个参数:状态转移阵fai,输入噪声系数gama,观测阵H,输入
噪声方差Q,观测噪声方差R,观测y- Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y Platform: |
Size: 1024 |
Author:石志强 |
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Description: 为了对测量数据进行自动拼接,提出了一种新的数据拼接方法。该方法根据标志点的空间拓扑关系,先
利用关系匹配自动找出对应的标志点对,以降低数据拼接的操作复杂性 同时应用Rodrigues参数表示位姿变换矩
阵,并引入中间参数进行分步求解。数据拼接实例的拼接结果表明,该方法计算过程简单、稳定性好。-To register point sets automatically, a method was p roposed in this paper. It used the relationalmatching to get
the counterpoints ofmarked points based on the topology and introduced the Rodrigues parameters to describe the transition
matrix. The matrix was solved simp ly and steadily by using a temporary variant. Finally a registration experiment was
p resented. Platform: |
Size: 190464 |
Author:jack |
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Description: 用泰勒级数展开的形式表示高动态的载波相位参数, 给出了对高动态载体和各阶频率参数
估计的四阶加权扩展卡尔漫滤波器(EKF) , 以及实现高动态跟踪滤波器必须的状态转移矩阵和动
态噪声协方差矩阵. 计算机模拟实验分析了对载波相位和各阶频率的跟踪结果.-Taylor series expansion with the form that the carrier phase high-dynamic parameters, given the high-order dynamic frequency carrier and the fourth-order parameter estimation Carl diffuse filter weighted extended (EKF), and to achieve the necessary high dynamic tracking filter state transition matrix and dynamic noise covariance matrix. The computer simulation analysis of carrier phase and frequency tracking results of each order. Platform: |
Size: 256000 |
Author:herui |
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Description: 1.自动机以状态转换矩阵的方式在计算机内部进行表示;2.根据NFA确定化的方法,将NFA确定化;3.判断自动机是否以最小化,若不是将其最小化;4.以状态转换矩阵的方法表示出确定化、最小化后的自动机。-1. Automatic machine to the way state transition matrix be represented inside the computer 2. According to the method of determining NFA, the NFA Deterministic 3. To determine whether the automatic machine to minimize, if not minimize it 4. To state transition matrix method to determine of the show, minimized automaton. Platform: |
Size: 7168 |
Author:feihu |
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Description: 本文提出一种基于核方法的下视等分辨率景象匹配算法. 通过模拟电荷吸引模型, 提出了计算不等维高维数据相似度的SNN 核函数. 将图像中的特征点映射到径向基向量(Radial basis vector, RBV) 空间, 利用SNN 核函数计算两个特征点集的相似度及过渡矩阵. 利用置换测试模块来增强SNN 核的稳定性, 以确保输出解的可靠性. 实验证明, 基于SNN 核的景象匹配算法对图象畸变、噪声干扰与信号缺失具有很强的鲁棒性, 并可保证高精度与高实时性.
-This paper presents a method based on kernel resolution of the next scene, as the other matching algorithms. Attracted by charge simulation model for computing the data ranging from high-dimensional similarity dimension SNN kernel function. The image feature points mapped to the radial basis vector (Radial basis vector, RBV) space, calculated using SNN kernel similarity of two feature point sets and the transition matrix. permutation test module to enhance the stability of the nuclear SNN to ensure the reliability of the output solution. Experiments show that SNN-based scene matching algorithm kernel image distortion, noise and signal loss are highly robust, and can ensure high precision and high real time. Platform: |
Size: 677888 |
Author:wenping |
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Description: 输入两组点,求其近似转换矩阵以及两组点的对应顺序,run为测试代码-Enter the two points, find the approximate point of transition matrix and the corresponding sequence of the two groups, run the test code Platform: |
Size: 1024 |
Author:gls |
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Description: 设置kalman滤波器中噪声大小以及状态状态转移矩阵,测量向量,就可以进行目标的跟踪。 -Kalman filter set size and noise in the state transition matrix, measurement vector, target tracking can be carried out. Platform: |
Size: 2048 |
Author:李冰 |
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