BP_matlab

区别于matlab自带的fft程序，为自主设计的myfft程序代码(Different from matlab' s fft own procedures for self-designed program code myfft)

主要功能：扫描指定目标扫描目录中所有文件类型为XLS的文件，并在列表中显示。(Main functions: scan all files in the directory specified target scanning type for the XLS file, and display in the list.)

data reduction with fuzzy rough sets or fuzzy mutual information

给定一批的样本，当然这些样本间必须相互独立。如果Q > chi2(p, nu)，假设拒绝，否则通过。 ARGUMENTS: x Absolut numbers. p The prob ability value, calculated from Q. Q The resulting Q-value.(A given batch of samples, of course, among these samples must be independent of each other. If Q> chi2 (p, nu), the assumption that refuse, or else through. ARGUMENTS: x Absolut numbers. P The prob ability value, calculated from Q. Q The resulting Q-value.)

角点是图像的重要特征，一般指曲率大的边缘点，该代大戏是用MATLAB编写的角点检测算子。(corner image is an important characteristic of large curvature generally refers to the brink, The show is substituting prepared using MATLAB corner detection operator.)

基于Matlab的低通滤波器的设计源码，可以通过此代码，模拟低通滤波器的设计。并附有仿真后的图像。(Matlab low pass filter based on the design of source code, can this code, analog low-pass filter design. Together with simulation, the image.)

A system for disciplined convex programming

1.实验目的：绘制分形图案并分析其特点。  2.实验内容：绘制Koch曲线、Sierpinski三角形和树木花草图形，观察这些图形的局部和原来分形图形的关系。  3.实验思路：利用函数反复调用自己来模拟分形构造时的迭代过程，当迭代指标n为0时运行作图操作，否则继续迭代(1. Purpose: Draw fractal patterns and analyze their characteristics. 2. Experiment: Draw Koch curve, Sierpinski triangle graphic flowers and trees, observe the relationship between the local and original graphics fractal graphics. 3. Experiment idea: using the function calls itself repeatedly to simulate the iterative process when the fractal structure, when the iteration index n is plotted 0:00 run, otherwise continue iterating)

学习matlab的资料，包含matlab的练习题和上机训练(Learn matlab materials, including Matlab exercises and computer training)

说明：  MATLAB实现的NARX模型辨识程序，适用于初学模型辨识的学者理解NARX模型辨识方法(The NARX model identification program implemented by MATLAB is suitable for the scholars who are learning model identification to understand the NARX model identification method.)