KSVD

说明：  ％极大似然方法 gcn为高斯有色噪声！！！比较不同点( Maximum likelihood method for Gaussian colored noise GCN! ! ! Compare different points)

说明：  线性预测是语音信号分析中用得比较多的一种方法#&’()算法在线性预测中占有重要地位#格型滤波 器在语音信号分析中起了重要作用$本文采用&’()算法的逆运算对语音信号进行合成#得到了较好的合成效果$ (Linear prediction analysis of speech signal is used more than one way#&amp ' () linear prediction algorithm plays an important role in cell-type filter# signal analysis in speech played an important role in this paper, $ &amp ' () Algorithm of inverse operation of the synthesized speech signal synthesis# get a better result $)

一个风力发电系统的最大功率跟踪matlab仿真(The maximum power tracking of a wind power generation system)

在MATLAB上实现burg算法，简便易懂(Burg on implementation in MATLAB algorithm, simple and understandable)

smith 预估控制 smith 预估控制(smith control smith control)

这段代码是用来求希尔伯特变换的，希望对大家有用(The Hilbert transform )

运用分枝定界法求解混合整数规划的matlab程序( Use the branch and bound method for solving mixed integer programming procedures meaning of the of the input parameters: min f* x A* x < = b Aeq* x = beq iter_num_max: maximum number of iterations lb : each variable lower limit UB: upper limit of the each variable X0: Initial ID: 0,1 variable, ID (k) = 1 indicates the variable k is an integer variable, ID (k) = 0, represents the k variable non-integer variable ftemp_up: initial upper bound, unable to find the upper bound of the initial default is infinite IP: initial feasible solution, the initial feasible solution can not be found, the default is the empty output parameters meaning: x: y: optimal solution of the objective function value corresponding to the optimal solution time-consuming iter_num: the number of iterations of the entire branch and bound process Time: Run this program)

matlab 的入门经典教材，外文翻译，适合初学者(matlab introductory textbook classic, foreign language translation, suitable for beginners)

This paper deals with the damping technic of Low frequency oscillation in power system with SSSC compensator and various controllers

最优化算法，单纯形法，两阶段法，大M法，单纯形法（两步法）求解任意LP问题的可视化界面(Optimization algorithm, simplex method, two-phase method, Big M method)