Matlab

说明：  压缩采样，基于乃奎斯特采样，压缩编码，变换编码(compressed sampling)

economic load dispatch with emission

说明：  提供了稳定的自抗扰控制结构框图和仿真数据分析研究，方便学生做simulink仿真，学习自抗扰控制！(Provides stable research on the placement of ADRC control structures and simulation data analysis, which is convenient for students to do simulink simulation and learn ADRC!)

冈萨雷斯数字图像处理matlab版源码 V1[1].1.3, 有书中的所有源码，都能使用，和大家一起分享(Gonzalez digital image processing matlab source code version V1 [1] .1.3, the book has all the source code, can be used, and the U.S. share)

读取图像 显示图像 将图像矩阵类型转换为double 傅里叶变换 离散余弦变换(Read image shows the image matrix type image is converted to double Fourier transform discrete cosine transform)

基于MUSIC方法功率谱估计的matlab仿真(MUSIC-based method of power spectrum estimation matlab simulation)

提出了一种求解电磁场有限元 边界元混合法所生成的线性方程组的有效方法 ———内观 法结合多波前法.由于该线性方程组的系数是一个部分稀疏部分满填充的矩阵,为了加速求解,应用内观法将系数矩阵分为 2块,一块是有限元法形成的稀疏矩阵,另一块是边界元法生成的满阵,然后用多波前法求解稀疏矩阵方程,用高斯 约当消去法解满阵方程. 采用该方法,计算了二维多层介质柱体的雷达散射截面.计算结果表明,该方法的计算效率远远高于传统的高斯法.(Proposed for solving mixed finite element boundary element linear equations generated by an effective method of Vipassana--- a combination of multi wave front method. Since the coefficients of linear equations is a part of the sparsely populated part of the full matrix, in order to speed up the solution, application of Vipassana coefficient matrix is ​ ​ divided into two, one is the finite element method for the formation of the sparse matrix, the other is the boundary element method generates the full array, and then use the multifrontal method for solving sparse matrix equation Gauss Jordan elimination method with full matrix equation solution. use this method to calculate the two-dimensional multi-layer dielectric cylinder of the radar cross section. The results show the computational efficiency of this method is much higher than the traditional Gaussian law.)

关于copulas相关的比较齐全的编程代码，能够简单地将相应程序运行(About copulas related to the relatively complete programming code, can simply be the corresponding program to run)

Fibonacci Numbers, the Golden section and the Golden String

convolution_ different methods.. circular n linear covolution included