matlab

五点差分求解椭圆型方程边值问题，方便快捷，简单好用(five points)

DBCC算法的具体例子，均是本人自己编写的程序 可以运行( Specific examples of DBCC algorithm)

trial code for vocal tract shape estimation .

一套完整的V-BLAST系统，包括发射端的多种调制以及多种接受算法，信道为瑞利信道。(A complete set of V-BLAST system, including a variety of modulation transmitter and a variety of acceptable algorithm, channel for the Rayleigh channel.)

Blowfish Algorithm is a Feistel Network, iterating a simple encryption function 16 times. The block size is 64 bits, and the key can be any length up to 448 bits. Although there is a complex initialization phase required before any encryption can take place, the actual encryption of data is very efficient on large microprocessors. Blowfish is a variable-length key block cipher. It is suitable for applications where the key does not change often, like a communications link or an automatic file encryptor. It is significantly faster than most encryption algorithms when implemented on 32-bit microprocessors with large data caches.

Codes related to electrical machine.

说明：  系统地论述了神经网络控制、模糊逻辑控制和模型预测控制的基本概念、工作原理、控制算法，以及利用MATLAB语言、MATLAB工具箱函数和Simulink对其实现的方法。该书取材先进实用，讲解深入浅出，各章均有相应的例题，并提供了大量用MATLAB/Simulink实现的仿真实例(The basic concepts, working principles, and control algorithms of neural network control, fuzzy logic control and model predictive control are systematically discussed, as well as the methods to implement them using MATLAB language, MATLAB toolbox functions and Simulink. The book draws advanced and practical materials, explains profound theories in simple language, each chapter has corresponding example questions, and provides a large number of simulation examples realized by MATLAB/Simulink)

关于图象的恢复问题,可以通过MATLAB来处理,包括运动模糊等(On the image restoration problem can MATLAB to deal with, including motion blur, etc.)

用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。(Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM. )

K均值聚类，输入聚类前的点集以及阈值，输出最后各个分类的中心点(K-means clustering, the input point set before clustering and threshold, output the final classification of the center of each)