improved-leach

this file is for tracker ball from a image

tiles images........................................

the code performs the basic fir filter operation

基于神经网络的人类polya位点识别。。。。。(neural network)

这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。(The matlab program to achieve the target image segmentation and extraction technology, the annex of the procedures for license plate detection and recognition, for example, the effect is very good.)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

基于matlab编写的源码 做简单的数字识别(Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification Digital Identification)

模拟脉冲在光纤中传输时色散对其的影响,通过作图形象地说明脉冲时域和频谱的演化(the dispersion effect of pulse propagating in fiber)

simulation of 3_phase rectifier in matlab simulink

基于无迹卡尔曼滤波的人工神经网络matlab程序(Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function.)