MIMO-channel-capacity

这是用MATLAB实现的计算器的GUI程序，对于初学MATLAB的新手来说，好不错的一个程序哟(This is achieved using MATLAB GUI calculator program is for beginners new to MATLAB, so good a program yo)

基于MATLAB 的信道编码教学实验软件设计与实现(Channel coding based on MATLAB software design and implementation of the teaching experiment)

该程序用于地球物理层析成像及反演，也可在工程优化问题得到应用。(The procedure for geophysical tomography and inversion, can also be applied in engineering optimization problems.)

ipv4过渡到ipv6的一些技术分析，希望对大家有用(ipv4 transition to ipv6 some of the technical analysis, hope for all of us)

一个简单的基于MATLAB的GUI设计例子，适合初学者。(a simple GUI based on MATLAB design examples for beginners.)

通信原理实验生成软件及相关代码，调制解调（C生成）(Communication principle experiment generation software and related codes, modulation and demodulation (C generated))

Partial-Fourier Reconstruction with POCS

普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)

基于MUSIC和ESPRIT算法的谐波恢复的仿真(MUSIC and ESPRIT algorithms for harmonic retrieval simulation)

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.