mimo-capacity

对正交频分复用的仿真，主要针对其简单原理进行仿真(On orthogonal frequency division multiplexing of the simulation, the main principle for its simple simulation)

说明：  ① 样本数据从MATLAB命令窗口或新建一M文件作为数据输入文件，样本输入变量名为samin,样本输出变量名samout 样本个数和每个样本的维数可任意，样本输出的个数与样本个数应一致，即保证每个样本都对应一个期望输出，但每个输出的维数不要求与输入的维数相同，可任意； ② 聚类中心的个数（即基函数的个数）可根据实际情况调整；同样可调整参数的还有重叠系数、聚类中心最大更新次数、聚类中心更新终止误差； ③ 训练结束后进行测试时，要求输入的测试数据与样本具有相同的维数，测试数据的个数可任意； ④ 如果训练样本是二维的，则数据中心聚类的结果可用一平面图显示出来；同样测试数据的输出是一维的话也可显示出来； (RBF artifical neual networks)

图像处理matlab 使用matlab语言对图像进行边界提取(Edge extraction image processing matlab)

说明：  matlab simulink about a theory jame machin

Script de Histogramas para Imagenes

Library program which takes the user input and gives the details of the books .

说明：  采用双闭环控制pwm的直流电机，输入为直流电压，反馈环节采用速度环和电流环(The DC motor adopts double closed-loop control PWM, the input is DC voltage, and the feedback link adopts speed loop and current loop)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

基于wincon的球杆系统的matlab具体实现(Wincon the ball-beam system based on the concrete realization of matlab)

Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.