baidong

说明：  GA算法优化机械问题，适用于算法初学者使用(GA algorithm to optimize mechanical problems for beginners to use algorithm)

image and signal processing are used mostly right now. these programs is related to image processing. Image negative is used for the getting the negative image of the original image. and contrast stretching is for the give the middle value. Fast Fourier Transform program is used for the getting FFT of the signal.

说明：  有各种小波包分解的程序和子程序，能够有效快速地对振动信号进行分解。(There are various wavelet packet decomposition programs and subroutines, which can decompose vibration signals effectively and quickly.)

非常好用的MATLAB程序，不下会后悔的(MATLAB is very useful procedure, we will regret over the)

用MATLAB做阶乘的和，比如1！+2！+3！+4！+。。。+10！(MATLAB to do with factorial and, for example, 1!+2!+3!+4!+...+10! )

关于一阶倒立摆基于sugeno模型的仿真设计。通过matlab编写仿真程序。(About an inverted pendulum based simulation of sugeno model design. By matlab simulation program.)

GPS/INS组合导航，可以提高系统精度，很实用(integrated navigation)

matlab编程的三个线性方程组求解子程序：cggm.m,fdm.m,febs.m.其中cggm.m为共轭梯度法求解子程序,fdm.m为最速下降法求解自程序,febs.m为三对角追赶法求解子程序.(Matlab programming three linear equations subroutine : cggm.m, fdm.m. febs.m. which cggm.m to conjugate gradient method subroutine, fdm.m for the steepest decline since the method procedures febs.m angle to catch up with three pairs method subroutine.)

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. )

说明：  matlab程序 遗传算法变异程序 敬请各位高手指教(Matlab procedures genetic algorithm variation procedures you please enlighten master)