StewardPlatformSolver

MATLAB+7简明教程.rar，对于初学者很有用！(this resources is something about MATLAB。it s good for new learner )

实验： 有两个个矩阵a和b，均为2行3列。 重载运算符“+”， （1）使之能用于矩阵的相加。如c=a+b。 （2）如果参与运算的两个操作数中一个是整数即矩阵+3或3+矩阵形式，进行加法运算也能得出和。 （3）定义自减运算符的前置（i++）和后置（++i）重载编写相应程序并验证它的正确性。 (i think it s a goog for many people)

说明：  产生伪随机序列的方法，C语言编写，调试通过。(Generate pseudo-random sequence, C languages, debugging through.)

pedestrain detection

this is a matlab SVM example

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )

说明：  自动控制系统中滑膜变结构控制matlab仿真程序(Automatic Control System of Variable Structure Control of synovial matlab simulation program)

详细介绍了在MATLAB中利用GUI做界面的方法！(Described in detail in the MATLAB interface to make use of GUI methods to do!)

模糊PID控制器的MATLAB仿真程序 模糊控制器内部原理图，以及2个输入，1个输出的隶属度函数图。 (Fuzzy PID controller MATLAB simulation program internal schematic diagram of fuzzy controller, and two inputs, one output membership function chart.)

这是胡不变矩的经典matlab程序，其实就是不变矩的验证，七阶矩.(This is the classic Hu invariant moments matlab program, in fact, the same moment the validation, seven-order moments.)