GN

toeplitz方程的求解算法，反卷积中所使用。x*h=y, 已经h,y,求x。(Equation toeplitz algorithm used in the deconvolution. x* h = y, has h, y, need to solve x)

This is a compact code for reliability analysis based on the stochastic response surface method (SRSM) which first uses the univariate dimension reduction (UDR) to decompose the multidimensional performance function into multiple one-dimensional univariate functions and then employes the cubic spine interpolation to approximate the one-dimensional univariate functions.. One mathematical example is solved for demonstration purpose.

数字图像处理课程上机实验_实验1利用matlab平台对图像灰度进行各种不同的变换(Courses on digital image processing machine experiment _ Experiment 1 using matlab platform for a variety of different gray transformation)

krushal 算法 最小生成树 matlab(krushal)

code for sattelite calculaton

理解Fisher准则方法确定最佳线性分界面方法的原理，以及拉格朗日乘子求解的原理(Fisher criterion to determine the best way to understand the interface methods of linear theory, and the principle of Lagrange multipliers to solve)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 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（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 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； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 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； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 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 plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

改进经验模态分解（EEMD）模型，主要用于非稳定类型号处理，在EMD的基础上考虑了端部效应影响，并对其进行了处理。(Embedded empirical mode decomposition (EEMD) model, mainly for the number of non-stable type of treatment, the end effect is considered on the basis of EMD and its processing.)

两个仿真分别实现LS（最小二乘法）和MMSE（最小均方误差）信道估计。(Two simulations were realized LS (least squares) and MMSE (minimum mean square error) channel estimation.)

对认知无线电的仿真程序，使用simulink进行仿真(On cognitive radio simulation program, using simulink simulation)