GA_Matlab

利用STDM方法嵌入水印信息，可设置量化步长，选择各种经典的攻击方式，控制攻击强弱，返回误码率和峰值信噪比(Stdm method using embedded watermark information, to set the quantization step size, choose a variety of classic attacks, controlling the strength of the attack and returned to the bit error rate and peak signal to noise ratio)

说明：  该软件是用来分析PE文件结构的工具，可以分析出PE文件的各个头部，导入表，导出表。(The software is used to analyze the structure of the PE file tools that can analyze the PE file each head, import table is derived, tables )

这个matlab程序实现的是一个噪声生成器，它可以生成高斯、椒盐、加性及乘性噪声，并把这些噪声添加到一幅图像上。(Gaussian Pepper Noise Generator)

为减小感应电机转动惯量对机械特性的影响 ,基于最小二乘法 ,引入开关控制器 ,构建了一种新 型的最小二乘参数辨识器 (To reduce the infl uence tha t the vari ai on of the inertiato the mechani cal characteristics of induction moto r , a new identifier based on the Recursive L eat Square salgorithm is propo s ed . )

Parzer Window on CUDA for Matlab

Fibonacci数列，已知一个Fibonacci数，能求出它的N值(Where Fibonacci sequence, a number of known where Fibonacci, can find its N)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

program to calculate the montly mean of diary rainfall data base

用于进行特征选择的方法，可以对数据进行降维，减少冗余。(For the method of feature selection, the data can be reduced and redundant.)

说明：  《Matlab与C++》这本书的第5章，包含matlab程序和C++程序(&quot Matlab and C++&quot Chapter 5 of this book, including the matlab program and C++ program)