6-_-cylinder

2D brownian motion , brownian motion is a particle motion wich simulate the random force of particles

Bema analysis by using the finte element method

very good excellent amazing

基于MATLAB的m序列的产生及相关特性仿真(Based on the MATLAB m sequences and related characteristic simulation )

软输出维特比译码方法的matlab实现.是个很典型的编程方法(Soft Output Viterbi decoding method matlab realize)

A simple but complete mobile wireless network simulator in Matlab

说明：  图论的相关MATLAB CODE 非常好用(grBase- find all bases of digraph grCoBase- find all contrabases of digraph grCoCycleBasis- find all independent cut-sets for a connected graph grColEdge- solve the color problem for graph edges grColVer- solve the color problem for graph vertexes grComp- find all components of graph grCycleBasis- find all independent cycles for a connected graph ...)

说明：  Matlab 工程数学应用 清华大学出版社 详细介绍了Matlab在高等数学，线性代数，符号运算，图形处理，数据处理方面的应用。(failed to translate)

系统辨识与自适应控制 带滤波的最小二乘递推算法(system identification. Flitering based recursive least squares algorithm)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)