Kalman-intro

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)

说明：  简易模糊控制器设计，输入给定为1，已知被控对象的传递函数(Simple fuzzy controller design, as an input to the known transfer function of the object and)

随机信号分析上机实验，内有matlab编程的基础小程序。有利于新手学习。(Experiment on the computer random signal analysis, the basis for programming within a small matlab program. Benefit novice learning.)

DISTEU Function DISTEU Pairwise Euclidean distances between columns of two matrices Input: x, y: Two matrices whose each column is an a vector data. Output: d: Element d(i,j) will be the Euclidean distance between two column vectors X(:,i) and Y(:,j) Note: The Euclidean distance D between two vectors X and Y is: D = sum((x-y).^2).^0.5

支持向量机的matlab版，内容不错较为新颖 有很强的实用价值(Support vector machine matlab Edition)

Program will calculate the region of interest with free hand sketch and the selected will be shown

his is a direct and complete translation of the Gauss codes of Bai, J. and P. Perron (1998) Estimating and Testing Linear Models with Multiple Structural Changes Econometrica, vol 66, 47-78 and Bai, J. and P. Perron (2003) Computation and Analysis of Multiple Structural Change Models Journal of Applied Econometrics, 18, 1-22, provided by Pierre Perron (version 3, October 11, 2004). All the notice in the original Gaiss codes remain valid. For users, run brcode.m . The procedure is explained in the same m file and in each function file. June 20, 2012 Yohei Yamamoto Email: yohei.yamamoto@econ.hit-u.ac.jp

实现SVM数据挖掘分类模型，主要构造了SVM分类器。(Data mining to achieve SVM classification model, the main structure of the SVM classifier.)

精心整理的包含了近年来一些主要的关于Matlab混合编程的论文集(Finishing well in recent years includes some of the major mixed on Matlab programming Essays)

能够从单一的图像中提取出镜面反射的内容。改算法使用matlab编写，非常值得研究的算法。(From a single image to extract the contents of specular reflection. Matlab algorithm to use to prepare, the algorithm is very worthy of study.)