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水仙花数的C实现，很不错的，我感觉。希望能对大伙有用，谢谢大家(narcissus)

Controle direto com carga do MI

说明：  feko中常见问题总结，对于利用feko进行电磁计算仿真的同学有一定借鉴意义(The summary of common problems in FEKO can be used for reference for students who use FEKO to carry out electromagnetic simulation)

说明：  用于波束成形的matlab代码，主要思想是用DFT码本实现(A large number of antennas are arranged at the base station of the system, and then the signals from different directions are weighted by beamforming preprocessing. After that, the power of each signal can be concentrated in a certain beam space for transmission,)

MATLAB（矩阵实验室）是MATrix LABoratory的缩写，是一款由美国The MathWorks公司出品的商业数学软件。MATLAB是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。除了矩阵运算、绘制函数/数据图像等常用功能外，MATLAB还可以用来创建用户界面及与调用其它语言（包括C，C++和FORTRAN）编写的程序。(MATLAB (MATrix LABoratory) is The abbreviation of MATrix LABoratory, is a by The United States The MathWorks company production of a commercial mathematical software. MATLAB is a kind of for algorithm development, data visualization, data analysis and numerical calculation of senior technical computing language and interactive environment. Besides drawing function/data image matrix operations, commonly used functions, such as MATLAB can also be used to create the user interface and the calls to other languages (including C, C++ and FORTRAN) program. )

subband audio coding

To reduce the piracy .....here we use a watermark technique...

基于MATLAB图像分维数的计算 欢迎大家下载(fractal method)

说明：  安德森经典著作：最优滤波，学习最优滤波的基础教材(Anderson classics: the optimal filter, optimal filter based learning materials)

实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱("SparseBayes" is a package of Matlab functions designed to implement an efficient learning algorithm for "Sparse Bayesian" models. The "Version 2" package is an expanded implementation of the algorithm detailed in: Tipping, M. E. and A. C. Faul (2003). "Fast marginal likelihood maximisation for sparse Bayesian models." In C. M. Bishop and B. J. Frey (Eds.), Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL, Jan 3-6. This paper, the accompanying code, and further information regarding Sparse Bayesian models)