yundongxuezhengjie

说明：  hough变换，可以经过图像的边缘点实现霍夫变换，即实现空间转换！(hough transform, image edge points can be achieved through the Hough transform, that is to achieve space conversion!)

程序实现了naive bayes classifier， 并附有对美国参议院根据投票情况来判断议员属于民主党还是共和党的例子。(Program achieved a naive bayes classifier, along with the U.S. Senate voting to determine under Democrat and Republican members belonging examples.)

对序列建立AR模型，并以概率形式给出预测数列表达。先进行平稳性检验后求取自相关函数，用Y-W法求取模型参数，并应用FPE准则确定阶数，进行预测后，给出概率表达。(AR model for the sequence established, and the probability forecast given in the form of a list. After a smooth first autocorrelation function test strike strike model parameters YW law and apply the criteria to determine the order of FPE, predict, given the probability of expression.)

信号在多径衰落信道中传输特性的研究 当信号在无线信道传播时，多径发射和衰减的变化将使信号经历随机波动。因此，无线信道的特性是不确定的，随机变化的。(Signal in multipath fading channel transmission characteristics)

自适应滤波算法的实现，包括LMS算法与RLS算法。能够实现自适应滤波。(Adaptive filtering algorithm, including the LMS algorithm and RLS algorithm. Adaptive filtering can be achieved.)

空间后方交汇求解相机外方位元素，变量如下 ％ x，y 控制点像点坐标 ％ X，Y，Z 控制点空间坐标 ％f焦距 ％X0，Y0，Z0，a，b，c六个外方位元素 ％x0，y0，-f内方位元素：光心坐标 ％cha，chb，chc：外方位角元素改正数 ％count 记录迭代次数 ％R 旋转矩阵 ％A 线性化的偏导系数矩阵 ％L 常数项矩阵 ％M0 外方位元素矩阵 ％M1 外方位元素改正数矩阵(meeting space for rear camera position outside elements, as follows% variable x, y control point pixel coordinates% X, Y, Z coordinates control room focal length f%% X0, Y0, Z0, a, b, c 6 exterior orientation elements% x0, y0,- f position within elements : Optical Center coordinates% cha, chb, chc : Foreign elements azimuth correction% record count the number of iterations rotation matrix R%% A linear partial derivative of the coefficient matrix% L constant Matrix% M0 Orientation% M1 matrix elements of exterior orientation correction matrix)

vecinos aleatorio para la construccion de una small world

该资料是汇总了大部分的MATLAB的命令语句，涵盖的面很广，包括常用命令，运算符和逻辑函数，语言结构和调试命令，矩阵和矩阵操作基础，数学函数与坐标变换，数据分析，多项式，双重函数，声音处理，字符串函数，低层文件输入输出函数，位操作结构和对象函数，数组函数，图像可视化函数这些模块。希望对大家学习MATLAB有所帮助。(This information is a summary of most of the MATLAB command statement, surface covers a wide range, including the commonly used commands, operators, and logical functions, language structure and debug commands, matrices and matrix operations based on a mathematical function and coordinate transformation, data analysis, polynomials, dual function, sound processing, string functions, low-level file input and output functions, function-bit operating structures and objects, arrays, functions, image visualization functions for these modules. We hope to learn MATLAB help.)

to recognition the letters and numbers

matlab的卡尔曼滤波预测算法例子，希望对大家有帮助(matlab prediction algorithm of the Kalman filter example, we would like to help)