MATLABLibrary

:元胞自动机不仅是理论计算机科学领域的一个重要的计算模型,而且可视为一无限维的离散动力系统,被广泛应用于 自然科学和社会科学各领域的复杂性的研究中,是一个重要的研究方法和工具。该文以Matlab 为开发工具,开发了元胞自 动机的可视模型,为其在各个领域的复杂性研究提供了一个简易、可行的计算机仿真工具(MATLAB s version of Conway s Game of Life. "Life" is a cellular automaton invented by John Conway that involves live and dead cells in a rectangular, two-dimensional universe. In MATLAB, the universe is a sparse matrix that is initially all zero. Whether cells stay alive, die, or nerate new cells depends upon how many of their eight possible neighbors are alive. By using sparse matrices, the calculations required become astonishingly simple. We use periodic (torus) boundary conditions at the edges of the universe. Pressing the "Start" button automatically seeds this universe with several small random communities. Some will succeed and some will fail. )

使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。(Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error rate bayes classifier two-dimensional characteristics of the minimum risk bayes classifier and the use of data collection.)

MATLAB程序—一PCM。对PCM编码进行了详细的仿真，效果较好。(MATLAB program- a PCM. PCM coding for a detailed simulation better.)

FIR滤波器的MATLAB设计，根据航海雷达特性设计的滤波器(MATLAB FIR filter design, according to the design of the filter characteristics of marine radar)

基于线性滤波法的风速时程MATLAB程序(MATLAB program based on linear filtering method of wind speed time)

fuzzy controller design for inverted pendulum

MATLAB 编程视频教程1 有声有色，更易明白，很好很强大(MATLAB Programming Video Tutorial 1 impressive, easier to understand, very good very strong)

说明：  基于已知特性信道的QAM系统的仿真和性能分析(Based on the known characteristics of the QAM channel system simulation and performance analysis)

异步电动机的矢量控制仿真，用simulink做的，里面还有一个讲解用的PPT。(Induction motor vector control simulation, simulink do, there is also a narrator with the PPT.)

用现代谱估计法中的AR模型对信号进行功率谱估计(The power spectrum of the signal is estimated by the AR model of the modern spectral estimation method)