12543252down_convert_ofdm

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!)

in this file is distribution-system

An interactive peak fitting program for time-series signals, written as a self-contained function in a single m-file.

求切比雪夫窗函数和频谱；求凯塞窗函数和频谱；求凯塞窗函数和频谱等等滤波器的设计的一些程序(Some programs seek Kaiser window function and spectrum, and so the filter design seeking Chebyshev window function and spectrum seek Kaiser window function and spectrum)

基于MATLAB/Simulink的Stewart平台仿真程序(Based on MATLAB/Simulink simulation program of Stewart Platform)

程序实现了C++和MATLAB的混合编程，对接的方法是使用Matcom组件。程序实现的功能是，绘制一个sin函数。(Program implements C++ and MATLAB mixed programming, docking method is to use Matcom components. Program' s function is to draw a sin function.)

Designing Practical Interval Type-2 Fuzzy Logic Systems Made Simple

matlab离散余弦变换源码，经测试可以使用(discrete cosine transform matlab source, the test could be used)

小波的应用，需要用到小波基。例如在信号处理的各种应用中。用小波基才能生成小波函数。(Wavelet applications require the use of wavelet bases. Such as in various applications of signal processing. Wavelets can be used to generate wavelet functions.)

既有基础的matlab软件介绍，也有进阶的练习，让你精通matlab(Software matlab existing foundation, there are advanced exercises, so you master matlab)