MonteCarlo

说明：  风电机组仿真模型用于虚拟仿真,国外大型科研机构研发，很有借鉴和实际意义的。(wind turbine model used to simunlink the large scale wind turbine, it is very good. )

帮助使用者了解MATLAB相关命令的使用(collection of matlab orders)

根据邻接矩阵绘制图论图形。看注释使用，可以区分有向图和无向图(Draw Graph theory picture with adjstance matrix.Use it with explanatory notes.It can tell picture with direction whether or not)

一种层次聚类的方法，用matlab实现的源代码，可对点数据等进行聚类分析(A hierarchical clustering method, using matlab to achieve the source code, can be carried to the point of data clustering analysis)

KEM algorithm speech enhancement Gannot

傅里叶对干涉相位梯度进行变换，以执行一种新的加权最小二乘(Fourier transform on the interferometric phase gradient to perform a new weighted least squares)

数字信号处理的直接对象是数字信号，处理的方式是数值运算的方式，它涉及到的内容非常丰富和广泛，它是应用最快、成效最显著的新学科之一，做为信息专业的专业基础课，需要掌握其基本理论和基本的分析方法，通过理论和实践、原理和应用结合让学生掌握知识。而matlab是集数学计算、图形处理和程序语言设计于一体的软件，通过matlab来实现数字信号处理的有关表达，最终实现课程设计的目的。(Direct object of digital signal processing digital signal processing approach is the way value operation, which involves the contents of the very rich and extensive, it is the fastest application, the effectiveness of the most significant one of the new disciplines, as information on professional expertise basic course, need to understand the basic theory and basic methods of analysis, theory and practice, theory and application integration to enable students to acquire knowledge. The matlab is a mathematical calculation, graphics processing and program design in one of the software, through matlab to implement digital signal processing of the expression, and ultimately the purpose of course design.)

基于matlab的DSP调试方法，不错，很有用(Matlab)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

matlab离散信号时域分析，和频域分析实例，适合基础者使用。（来源课堂个人实验）(Matlab discrete time-domain signal analysis and frequency domain analysis of the examples, the use of suitable infrastructure. (Source individual classroom experiment))