contours_demo

非常好的聚类工具包，用Matlab开发，适合于科研用途等()

这个是对一般信号进行快速傅里叶分析。并画出其幅频图和相频图。与原信号进行比较(This is the general signal fast Fourier analysis. And draw the amplitude frequency and phase frequency diagram. Comparing with the original signal)

混沌工具箱 Matlab 计算分叉 庞加莱(Chaos Toolbox)

正交频分复用的16QAM的详细发送程序，值得收藏(Orthogonal Frequency Division Multiplexing 16QAM sending )

通过MATLAB 仿真实现哈夫曼编码的图片压缩(MATLAB Simulation by Huffman coding of image compression)

this is the code to do spectrum analysis using FFT.

一个利用matlab画圆球的程序。圆球有立体，高光效果。(Draw a sphere using matlab program. Three-dimensional sphere, high-light effect.)

用matlab实现聚类算法，注意是层次聚类和未知类别聚类算法！(Clustering algorithm using matlab implementation, pay attention to are hierarchical clustering and unknown type of clustering algorithm!)

里面有两个基于贝叶斯的估计，第一个是代码形式，第二个是txt格式。(There are two based on bayes estimates, the first is the code form, the second is the TXT format.)

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. )