thresh_tool.m

该压缩包里有 MATLAB的许多源码，包括插值拟合。绘图等(MATLAB)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

MATLAB应用大全一书的配书光盘第十二章源代码,该文件夹收录了本书涉及的源文件。收录了一些优秀应用实例信息，便于读者学习了解。(MATLAB application of CD attached with books of chapter 12 source code, this folder contains the book files. Includes some excellent examples of application information, convenient for readers to learn. )

simulink基础的教学幻灯片，为matlab-simulink初学者提供帮助(simulink-based teaching slides for beginners matlab-simulink help)

A code to generate 3D sample points for Design of Experiment (DoE). The points are generated using optimal Audze-Eglais Latin hypercube. Audze and Eglais presented a uniformed scheme by establishing an analogy between design points and set of mass and using the repulsive potential energy as optimality criteria. You should define number of sample points in “line 8” with sp_num

这是一个bpsk的循环谱程序，实现了bpsk的三维循环谱图，自己写的，希望对大家有帮助。(his is a loop BPSK spectrum program, realized the 3 d of BPSK cyclic spectrum diagram, write their own, I hope it can help you.)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

Converts binary data of any format in a string to floating point decimals of a defined fraction size. the intsize input parameter defines the size of the exponent and sets the fixed point location in the binary number. se accompanied matlab program for test of this function

说明：  用MATLAB编程，利用FDTD方法模拟了三维结构的场分布(With MATLAB programming, the use of FDTD method to simulate three-dimensional structure of the field distribution)