exm09435_1

尺度边缘检测，效果还不错的MATLAB代码。(Scale edge detection, the results were good.)

NSIS jiemian仿酷狗安装包实例(Imitation cool dog package instance)

点目标成像程序，对于SAR成像初学者非常有用。包含多点目标成像（用RD算法），包含距离徙动矫正.(Point target imaging procedures, very useful for beginners SAR imaging. Include multi-point target imaging (with RD algorithm), including range migration correction.)

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. )

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说明：  扩频通信中的同步研究，基于matlab的(Synchronization of spread spectrum communication research, based on the matlab)

matlab 程序 ica 独立成分分析主函数（其中没有编制子函数代码）(The main function matlab ica independent component analysis (not one of them to compile a function code) )

Iterative learning control based on PD in matlab

a modified version of henon algorithm

模糊数学实验指导书,书中讲述了matlab编程实现了聚类分析以及多目标规划等问题，具有很好的指导意义(Fuzzy mathematics experimental guide book about the programming matlab realize the cluster analysis and multi-objective planning problem, has a good guide)