Template-match

simulink model of induction machine

本程序是关于MATALB图象处理应用例子，用MATLAB编程把图象石块的总个数计算出来。(This program is an example on the MATALB image processing applications, using MATLAB programming to the total number of images derived rocks.)

ChannelDistoration.m实现了相同的数字信号分别经过无失真信道、幅度失真信道、相位失真信道和幅、相失真信道时的输出信号畸变情况。(ChannelDistoration.m realized through the same digital signals without distortion channel, amplitude distortion channel, the channel phase and amplitude distortion, phase distortion of the output signal of the channel when the aberration.)

利用MATLAB编程，生成图像，随机生成一系列“囧”字(Using MATLAB to generate an image, a randomly generated series of " embarrassing" word)

说明：  matlab写的用于时间序列预测的AR模型的程序，对于线性的时间序列效果还是可以的。(Matlab written procedures for time series forecasting AR model, the linear effect of time-series.)

一维曲线的分形维数源代码，希望你们有用。自己的课题写的程序(One-dimensional fractal dimension curve source code, I hope you will be useful ~ ~)

matlab的基础知识ppt03，适合初学者，希望大家好好学习(matlab basics ppt03, suitable for beginners, I hope you learn)

预测控制，DMC算法，对于理解预测控制原理非常有用的程序(Predictive control, DMC algorithm ，for understanding predictive control principle is very useful program)

里面包含了ICA算法和FASTICA算法，主要用于信号处理，如脑电信号，心电信号的伪迹去除。(It contains the ICA algorithm and FASTICA algorithm, mainly used for signal processing, such as EEG, ECG artifact removal.)

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. )