code

说明：  设计一个原型滤波器，以此为基础，可以设计出很好的滤波器组。(Design a prototype filter, as a foundation, you can design a good filter.)

12脉二极管整流MATLAB仿真12脉二极管整流MATLAB仿真(12-pulse diode rectifier 12-pulse diode rectifier MATLAB simulation MATLAB simulation)

滑模变结构控制在对一级倒立摆的控制，用于基础的变结构控制或者倒立摆控制学习。(Sliding Mode Variable Structure Control on an inverted pendulum control based on variable structure control for inverted pendulum control, or to learn.)

纹理特征提取的matlab程序源代码，内容需要修改，说明较少(texture matlab)

matlab code for peak of speach

说明：  Matlab中对建立好的网络进行节点/连边随机、蓄意攻击，用最大连通子图、网络效率来衡量网络的抗毁性，并找出最关键的节点的仿真程序。(In MATLAB, the nodes / edges of the established network are attacked randomly and intentionally. The invulnerability of the network is measured by the maximum connectivity sub graph and network efficiency, and the simulation program of the most critical node is found.)

the coding of genetics algorithm in 5 machines and 5 jobs...the coding uses matlab 7.0 release 14

将matlab应用于基于纹理特征的遥感影像分类中的标准差分类(Matlab applied to the differential classification based on texture features of the remote sensing image classification standard)

Kalman Filtering using matlab have theory and program which is fit to the students.(Kalman Filtering using matlab have theory and program which is fit to the students)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m----- Monte Carlo method lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )