VC-code

discrete Kalman Filter filter(离散Kalman Filter滤波器)

基于matlab的微粒群优化算法最全面的代码分享(Matlab-based particle swarm optimization algorithm is the most comprehensive code share)

AR的功率谱matlab程序集，用于信号的分析(AR power spectrum matlab assemblies for the analysis of signals)

说明：  EM最大期望算法：算法是在概率模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量。最大期望经常用在机器学习和计算机视觉的数据聚类领域。(EM algorithm)

说明：  结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别(Combined with PCA scale invariant feature transform (SIFT) algorithm source code, can be used for image target detection and recognition)

包含了通信系统方面调制解调的基本仿真代码，适合学生学习使用(Communication system includes a basic modem simulation code, suitable for students studying the use of)

实际的场景，若电梯的最大载客量m=10，设电梯中已有的 客人服从0-10 之间的均匀分布，且电梯中的任意一人在任意一层下的 概率相同，若你在第三层需要乘电梯到第七层，电梯处在第一层，共 8 层。且在每一层等电梯到达他们的目的楼层的客人服从0-3 的均匀分 布此时我们对电梯的运行加一些限 制，即电梯中若有客人未达目的地，电梯不会改变运行方向，求直到 你到达第七层为止，，电梯需停次数的数学期望，并进行计算机模拟验 证。(The actual scene, if the maximum lift capacity m = 10, the elevator has been designed to obey the guests uniformly distributed between 0-10, and the elevator in any one at any level under the same probability, if you The third layer needs to take the elevator to the seventh floor, the elevator in the first layer, a total of 8 layers. And in each level to reach their goals such as the elevator floor guests subject to the uniform distribution of 0-3 at this time we add some restrictions on the operation of the elevator, the elevator if it has not reached the destination guests, the lift will not change the direction, request until you reach the seventh floor so far, the elevator number of mathematical expectation to be stopped, and the computer simulation.)

计算灰色关联度，参考因子与比较因子共同存储在一个矩阵，参考因子为第一列(failed to translate)

搜集的C例程100例,供初学者学习用 (C code C_100.rar C_100.rar)

Matlab通过OPC方式与OPC服务器通讯。 1、opc_Comm_demo.m Matlab通过OPC方式与OPC服务器通讯Demo 2、display_opcdata 在opc_Comm_demo.m中调用的子程序(Matlab via OPC and OPC server communication means. 1, opc_Comm_demo.m Matlab via OPC and OPC server communication mode Demo 2, display_opcdata call the subroutine in the opc_Comm_demo.m)