standardmodelrelease

求解矩阵的LU分解和逆，两种一般方法求解线性方程组的解。(LU matrix factorization and solving the inverse, two general methods for solving linear equations.)

说明：  AF的性能仿真即误码率理论值的数值仿真分析(AF BER performance simulation is the theoretical value of the numerical simulation)

Tutorial on Sift master matlab

吊车双摆系统的仿真 说明了pid控制方法的局限性(Crane double pendulum system simulation illustrates the limitations of pid control)

航空飞行力学基本坐标系的转换、大气模型等等！(Aviation mechanics coordinate system conversion, atmospheric models and more!)

使用matlab编程GUI界面模拟琴键，点击GUI按钮发出相应频率的声音(Simulation using matlab programming GUI interface keys, click on the GUI button corresponding frequency sound issue)

基于地形图片的电磁场强覆盖matlab源代码，供大家交流(matlab source code to forecast electromagnetic covering based on pographic images,for all to share)

现有一个信号：x(n)=1+cos(π*n/4)+ cos(2*π*n/3)设计及各种数字滤波器以达下列目的： 低通滤波器，滤除cos(2*π*n/3) 的成分，即想保留的成分为1+cos(π*n/4) 高通滤波器，滤除1+cos(π*n/4) 的成分，即想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，即想保留的成分为1+cos(2*π*n/3) 1. 用MATLAB命令butterord求除滤波器的阶数,用命令butter设计各滤波器；画出滤波器幅度和相频相应 取各滤波器的系统函数H(z)。 (an existing signal : x (n) = a cos (* n/4) cos (2** n/3) design and digital filter to achieve the following objectives : low-pass filter, filter cos (2** n/3) the ingredients that want to retain an element of a cos (* n/4) high-pass filter, a filter cos (* n/4) components, namely to retain the element of cos (2** n/3) band-pass filter , a filter cos (2** n/3) components, namely to retain the element of cos (* n/4) band stop filter, the filter cos (* n/4) components, namely to retain the ingredients for a cos ( 2** n/3) 1. MATLAB order butterord except for the band Filter, using the order of the filter design butter; paint Filter magnitude and phase frequency of the corresponding filter system function H (z).)

内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction(Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine the number of Gaussian components, developed by Z.Zivkovic related article Improved adaptive Gausian mixture model for background subtraction)

weighted bit flipping algorithm using matlab m-file