Matlab

众多matlab代码用于检测图片质量，比如MSE， PSNR等(Several codes based on matlab used to evaluate the quality of image processing such as MSE, PSNR)

F16气动数据，开环仿真，包括操作性及稳定性数据，前缘襟翼控制参数等。(F16 aerodynamic data, the open-loop simulation, including operational and reliability data, leading-edge flap control parameters.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

Jacobi矩阵一般是坐标变换时用的——这个坐标系的坐标依次对那个坐标系的坐标求偏导数即得Jacobi矩阵。积分时从直角坐标变到球坐标、极坐标肯定要在积分号里乘上Jacobi矩阵的行列式。 若其特征值全为正，则此Jacobi矩阵正定，即它的任何二次型都大于零。并且如果是对称Jacobi矩阵，还可以实相合于一个单位阵。是比较强的条件。矩阵A的特征值是这个关于x的方程的所有根 det(A-xI)=0(Jacobi)

说明：  matlab语音信号的处理，源文件，M文件··········(matlab voice signal processing, source files, M files)

Script I use to overcome some annoyances with mym

testing advanced encryption system in matlab with multiple .m file already tested and well working under any of mathlab versions new or older.

lwz编码的多个示例程序，用于教学，有大量的注释，方便学生自学。(lwz coding)

Random processes important papers from previous years.

利用MATLAB建立扩展卡尔曼滤波器进行扫描滤波(using MATLAB establishment extended Kalman filter for filtering scanning)