stdPSO

matlab的一种功能实现程序：目的是为了实现定时使用摄像头照相（监控）的功能(timing photo)

机器学习算法adaboost的一个新版本，相比以前的0.3版，修正了几个BUG。(A new version of adaboost in machine learning algorithms.Compared of the previous version, some bugs are modified.)

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

说明：  预测控制算法中的广义预测控制编程仿真应用(Predictive control algorithm in the generalized predictive control simulation application programming)

MATLAB实例详解，通过对matlab语言如何编程进行实例解析，是学习matlab的很好教程(Detailed MATLAB examples, through the matlab programming language for examples of how to resolve, are studying a very good tutorial matlab)

maximum likelihood estimation

MATLAB是一种科学计算软件，专门以矩阵的形式处理数据。MATLAB将高性能的数值计算和可视化集成在一起，并提供了大量的内置函数，从而使其被广泛地应用于科学计算、控制系统、信息处理等领域的分析、仿真和设计工作中，而且利用MATLAB产品的开放式结构，用户可以非常容易地对MATLAB的功能进行扩充，从而在不断深化对问题认识的同时，逐步完善MATLAB产品以提高产品自身的竞争能力。 (MATLAB is a scientific computing software, and specialized form of a matrix data processing. MATLAB will be high-performance numeric computation and visualization integrated and provides a number of built-in function, so that it is widely used in scientific computing, control systems, information processing, analysis, simulation and design work , and the use of the open architecture of MATLAB product, the user can very easy expansion of the MATLAB functions, thus deepening the understanding of the problem, and gradually perfect the MATLAB products to enhance the competitiveness of the product itself.)

Matlab program for IRIS RECOGNISATION

说明：  广义Tikhonov正则化及其正则参数的先验选取(Generalized Tikhonov Regularization and Prior Selection of Regular Parameters)

说明：  LSTM简单例程及源程序，LSTM例程，源程序(LSTM routines, source code)