Matlab_robot_toolbox

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

运筹学整数规划求解的程序，用matlab编程实现最优解。(Operations research to solve integer programming procedure, the optimal solution using matlab programming.)

读取轴承全寿命周期中的每组数据，并对其进行多域特征提取，包括时域和频域特征提取，用于轴承性能退化评估的研究很有用，自己亲手调试成功(Read bearing the full life cycle of each set of data, and extract its multi-domain characteristics, including time domain and frequency domain feature extraction for bearing performance degradation assessment studies are useful)

数据挖掘的线性判别分析,用matlab编写(Data Mining linear discriminant analysis, using matlab write)

Excel files and MATLAB programs for endogenous growth models

输入的影像可以是一个复杂的形象contaning点，纹理，缺陷等图形用户界面可以让用户手动识别中心，动态更新和纪念中心。标志着该中心可以在整个图像或它的一部分。一旦所有这些中心鉴定，RDF是由程序计算和策划，并包含一个txt文件保存中心的名单。(The input image can be a complicated image contaning dots, textures, defects etc. The GUI lets the user manually identify the centers, dynamically updating, and marking the centers. The centers can be marked in the whole image or a part of it. Once all the centers are identified, the RDF is calculated and plotted by the program, and a txt file containing the list of centers is saved. )

关于OFDM降低PAPR的方法，并给出了clipping前后的CCDF曲线图。(About OFDM PAPR reduction method, and gives the CCDF diagram of curves before and after clipping.)

说明：  使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)

说明：  资料为基于BP基于BP神经网络的人脸识别源码（matlab），是课程设计做的一个课题，效果还不错，配备有测试显示界面，比较直观！(The data is the source code of face recognition based on BP neural network (matlab), which is a subject of curriculum design. The effect is good, equipped with test display interface, which is more intuitive!)

主要是讲CIC补偿滤波的设计与理解，里面有数学推导和程序实例，希望对大家有用(cic compensation filter design)