zantaiwendingxing

基于matlab的bayes net toolbox,希望对大家能有些帮助(based on the bayes net Matlab toolbox, we can hope for some help)

说明：  学习CA的matlab实现，正是由于元胞状态的改变使微观组织发生着变化，而元胞状态的改变是基于具体的形核和生长以及捕捉规则，这些规则正是元胞自动机模型的核心，根据结晶过程中的晶粒形核和生长的物理机制建立元胞自动机模型是准确模拟晶体组织的关键。(learn the matlab come true of CA)

MATLAB用于AWGN信道中产生512点算法!(MATLAB for AWGN channel generated 512 points algorithm!)

编队队形方向控制，将编队队形方向控制问题转化为编队队形状态两控制问题。(The direction of formation control, the direction of the formation control problem is transformed to two control problems for the formation state.)

说明：  本套资料,包含了各种Matlab和C++混合编程的例子和理论.是研究Matlab 和VC CBuilder的最权威和经典的例子.在网上搜集的时候发了一个下午的时间。结果发现内容太少了.不得不到我们学校的图书馆去找了。找遍了整个中国期刊全文数据库(CJFD),才找到了这几篇对与编程人员来说的有帮助和参考的文章了。发了我好几块钱了，希望对那些Matlab与Vc和Cbuilder混合编程的人员有很大的帮助了.(the sets of data, including a variety of mixed Matlab and C programming examples and theory. Research VC CBuilder Matlab and the most authoritative and classic examples. The online collection of hair at a time. The results showed very little content. Our school had to find a library. Grateful the entire CJFD (CJFD), they will find this program with a few pairs of officers help and reference of the article. I made a few good money in the hope that those with vitamin C and Matlab Cbuilder mixed programming staff have great help.)

介绍matlab编程的经典著作,包括与VC++进行联合编程,还包括一些经典的算法和源程序(Matlab programming on the classics, including the VC and joint programming, also including some classic algorithms and source)

Modulation test for OFDM : This is a set of five (5) codes about COFDM (Coded Orthogonal Frequency Division Multiplexing) and coding schemes such as Convolutional, BCH, Reed Solomon (RS) and Low Density Parity Check (LDPC). The study uses an OFDM signal over an AWGN Channel with white Gaussian noise model, and calculate the Bit Error Rate wich is plotted.

通过AR模型模拟得到风荷载，其模拟是有davenport风速谱得到的(Wind load is obtained by AR model simulation, which is based on Davenport wind speed spectrum.)

自适应的最小均方算法：只要自适应线性组合器每次迭代运算时都知道输入信号和参考响应，选用LMS算法很合适。(Adaptive least mean square (LMS) algorithm: as long as the adaptive linear combiner for each iteration when they know that the input signal and reference response, selection of LMS algorithm is very appropriate.)

Kalmanfilter for Demonstrate to Students