signal_decomposition_by_bp

小波包变换实际程序，这个是最基本的小波包程序，适合于初学者(packet wavelet)

介绍了matlab的通信工具箱的所有函数 以及如何使用 matlab通信工具箱(MATLAB communication toolbox functions and how to use Matlab communication toolbox)

一个简单的matlab GUI程序，适合初学者使用()

经验模态分解(EMD)的Matlab程序包(Empirical Mode Decomposition (EMD) of the Matlab package)

这是雷达幅度符合韦布尔分布的杂波仿真程序，功率谱为高斯谱，时域上分为I、Q两路。(This is consistent with the Weibull distribution range radar clutter simulation program, power spectrum for the Gaussian spectrum, the time domain is divided into I, Q two.)

C 案例分析 － 开发综合程序；C 编程技巧；C 编程技巧程序集(C Case Study- development of an integrated program C programming skills C programming skills assembly)

利用matlab/simulink 编写的直流调速程序(using Matlab/Simulink prepared by the DC converter procedures)

改进蚁群算法求两点间最短路径，基于matlab(Improved ant colony algorithm for the shortest path between two points, based on matlab)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

Research paper on guided image filtring