bezier

说明：  此为完整的CRC循环冗余校验编译码的源代码。分为三个模块，清晰地显示了编译码函数的调用过程。(This is the full CRC cyclic redundancy check encoding and decoding of the source code. Divided into three modules, clearly shows the process of decoding the function call.)

分布估计算法基础的函数描述，适合初学者,介绍分布估计算法的基础知识，有MATLAB例子帮助读者理解(Estimation of distribution algorithm based function description, suitable for beginners, introduces the basic knowledge of the estimation of distribution algorithm, MATLAB examples to help readers understand)

its image compression

说明：  MATLAB 有哪些主要功能? 初学者应如何利用这一数学软件去解决自己的 问题？要解决这些问题，应该尽快熟悉一些常用命令，了解它们的功能和使用 格式。(What are the main functions of MATLAB? Beginners how to use the mathematical software to solve their own problems? To solve these problems, should be familiar with some commonly used command as soon as possible, understand their function and use format.)

this m.file produces channel coefficient with some error, in which the estimation error follows a random variable with zero mean and variance of MSE. lat is the latitude of BS places at different cells which is used to determine the number of BSs in the networks

矩形波导与圆波导仿真软件，基于matlab R2014a 索取源代码请联系1611503643@qq.com(Rectangular waveguide and circular waveguide are the most commonly studied waveguide modes in the curriculum of electromagnetic fields & magnetic waves. A scheme of graphical display of the distribution of electromagnetic field in waveguides based on MATLAB is proposed. The impacts of the distribution of electromagnetic fields in the same waveguides and different modes, waveguide size as well as the boundary conditions on the result of simulation are discussed. Experiment results provide guidance for the curriculum.)

Matlab source code for prediction exon regions in DNA strand

基于matlab的指纹图像细化处理程序matlab源码。(Matlab-based fingerprint image thinning processing matlab source.)

MATLAB与交直流调速系统仿真 网上辛苦找的 还是蛮有用的(DC Speed ​ ​ Control System with MATLAB simulation online hard to find the still quite useful)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.