MATLAB

matlab一些常用的函数介绍,大家可以用一下(matlab function to introduce a number of commonly used)

这次提交包含简单的和直接的职能配置和情节机械臂运动学变换矩阵的计算着。用户只需指定要生署参数矩阵（在Craig的机器人学导论书定义的标准） 该文件包含5个功能和1例。 随意修改补充和完善的代码。(This submission consists of simple and straight forward functions that plots robotic arm configurations and computes forward kinematics transformation matrices. The user has to simply specify the DH parameter matrix (the standard defined in craig s Introduction to Robotics book) The file contains 5 functions and 1 example. Feel free to modify add and improve on the code.)

Simulation of Single phase halfwave controlled rectifier

这是“受控自回滑动平均模型”CARMA非线性系统的随机梯度辨识算法，用于参数估计以及模型建模。(This is a " controlled slide back the average model" CARMA nonlinear system stochastic gradient identification algorithm for parameter estimation and modeling.)

this program will help you to perform spectral estimation using different algorithms such as spectogram

this source code is chp6ex13 matlab

mean shift tracking, 经我修改 可以运行(mean shift tracking code, running successfully.)

一种基于matlab的数字水印的仿真的实现。(Digital Watermarking Based on the simulation matlab implementation.)

实现图像的像素放大功能，插值放大法,例如将一副128*128的图像放大为512*512的图像，希望对大家有所帮助(Image pixel zoom function, interpolation magnify)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)