Radar-Problems---2

此本电子书详细的介绍了C语言的图象编程，是C语言图象编程学习着的一本好参考书(this electronic book detailed introduction to the C programming language images, C programming language learning with images of a good reference book)

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. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)

matlab画图小程序，对初学matlab会有所帮助。。。。(matlab for figure)

数学建模：自动车床数学建模：自动车床数学建模：自动车床数学建模：自动车床数学建模：自动车床数学建模：自动车床(Mathematical modeling: automatic lathes)

心电方面的资料，有需要的人可以下载下来看看，是美国MIT库的一些总结。传上来大家看看，原作者看到不要骂人哦。我就想分享一下资源(ECG information regarding people in need can be downloaded see some of the United States concluded MIT library. Pass up we look, the original author to see Oh, do not curse. I wanted to share resources)

this is real fuzzy matlab code is hard5

用互信息求嵌入维数的matlab 该方法有效的计算嵌入维数(The method of the mutual information seeking embedding dimension matlab calculate the embedding dimension)

定步长四阶龙格库塔法的matlab源程序(Fixed step size fourth-order Runge-Kutta method matlab source)

algorithm to calculate the MMSE algorithm inlab mat

svm程序，下载后可以直接运行，但需要结合data数据。没有密码(svm program can be run directly after download, but requires a combination of data data. No password)