mofang

有关Matlab的一些关于计算性问题的源程序代码，做课程设计时用到的,有一定的实用价值 (For Matlab source code on computational problems, to do curriculum design used.)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

(eccv10)Features Image Matching[matlab]源代码((eccv10)Features Image Matching[matlab])

对数分布海杂波仿真程序，非常棒的MATLAB源码，需要的可以看下 (Simulation of sea clutter on the source, including the principles and programming note)

一种基于matlab的神经网络编码特征选择。特征点提取。(Based on neural network matlab coding feature selection. Feature point extraction.)

visual servoing of mobile robot

SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)

遗传算法优化支持向量机程序，用于参数寻优，提高分类率(Genetic algorithm optimization support vector machine program)

说明：  利用非线性二次迭代法，进行机器人D-H参数误差辨识。(The nonlinear quadratic iteration method is used to identify the D-H parameter error of the robot.)

该文件中包含基于维纳滤波原理的多级维纳滤波算法的完整过程，主要用于数据以及信号的处理(This file contains the complete treatment process multistage Wiener filtering algorithm based on the principles of the Wiener filter, used primarily for data and signals)