EEGLab_Tutorial

MATLAB时频分析工具箱，很简单实用，能够满足基本时频分析使用(MATLAB toolbox for Time-Frequency Analysis )

这是使用KCF进行视频追踪的matlab代码(This is done using KCF video tracking matlab code)

说明：  OPTIMIZATION IN MATLAB

初学者用惯性导航matlab仿真及程序，用于综合仿真(Beginners use inertial navigation matlab simulation and program for comprehensive simulation)

非线性规划的基本理论，用数学软件求解非线性规划，钢管订购及运输优化模型(The basic theory of nonlinear programming, mathematical software for solving nonlinear programming, Steel Pipe Order and transportation optimization model)

一道程序编译顺序的考题，涉及到函数调用的先后顺序及运算符号的优先级等问题。下面我展开给你讲。 C的程序编译总是从main函数开始的，这道题的重点在“fun（（int）fun（a+c,b）,a-c）） ”语句。 系统首先要确定最外层 fun()函数的实参，第一个参数的确定需要递归调用fun()函数（不妨称其为内层函数）。内层函数的两个参数分别为x=a+b=2+8=10、y=b=5,执行函数体x+y=10+5=15,于是得外层函数的参数x=15。其另一个参数y=a-c=2-b=-6,再次执行函数体,得最终返回值x+y=15+(-6)=9。 (Compiling together the sequence of test procedures, involving the sequence of function calls and operator symbols, such as the priority problem. Now I give you to start speaking. Procedures for C compiler always start from the main function and at这道题the focus of " fun ((int) fun (a+ c, b), ac)) " statement. System must first determine the most outer layer of fun () function of real parameters, the first parameters of recursive calls required fun () function (may be called the inner function). Inner function separately for the two parameters x = a+ b = 2+8 = 10, y = b = 5, to execute the function body x+ y = 10+5 = 15, then the outer function parameters were x = 15 . Its another parameter y = ac = 2-b =- 6, once again to execute the function body may eventually return the value of x+ y = 15+ (-6) = 9.)

这是一个基于线性矩阵的神经网络控制程序，它比普通的更简单，因为其应用的参数较少。(This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs)

The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is the segmentation using thresholding technique. Before we threshold the image, we need to prepare the better image for input such as histogram equalization to stretch the intensity value of the image before converting to binary image. In the second part of the assignment is about frequency domain. We need to transform the spatial image to frequency image using Fourier transform of the image before using the filter.

说明：  matlab环境下的模式识别分类例程。高维样本投影到低维空间进行分类识别。(matlab environment classification pattern recognition routines. High-dimensional samples are projected onto low-dimensional space for classification and identification.)

With 2 Hidden Layer Backpropagation Using Matlab