matlab

用python实现简易计算器，包括+，-，*，/及一些扩展运算，是联系python的GUI编程的很好的练手题目。(simple calculator write by Python.)

利用matlab软件仿真斜条纹和竖条纹的干涉图样(Software simulation using matlab interference pattern diagonal stripes)

应用MATLAB软件编程绘制庞加莱截面图，生成皮诺曲线的过程(动画) ，分形地图，离散的蔡氏电路， 抛物线-k*x^2+(k+1)*x混沌分岔行为等。(fractal pattern)

利用Kalman Filter进行机动目标跟踪的例子,附有详细的说明文档,(Examples of using Kalman Filter for maneuvering target tracking, a detailed documentation,)

主要是实现图像的融合,是在梯度域里面进行一个图像的融合，(shi xian tu xiang de rong he，in tidu yulimian rong he ercheng ,matlab huan jing,xia ,keyi yunxing qieyou ceshi shuju d e.)

计算机图形学中，用射线法和弧长法两种方法判断点是否包含在多边形内部(matlab实现) (Computer graphics, the ray method with arc-length method and two methods to determine whether the points included in the polygon internal (matlab realize))

最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.)

一种属性离散化的方法，对粗糙集适用(An attribute discretization method, the rough set for)

实现了一个简单的brick shader(umolement a simple brick shader)

对学习独立成分分析和人脸识别的会很有用，希望对大家有所帮助！(Learning independent component analysis and face recognition will be very useful, and they hope to be helpful to everyone!)