ERP1-Protocol-in-Matlab_By_Rashmi_Ranjan_Sahoo

说明：  KNN分类练习，有100数据，进行简单的KNN练习(KNN classification exercise, 100 data, simple KNN exercise)

说明：  matlab编写的计算机模拟程序 很方便使用 注释很清楚(matlab produear)

绘制正弦曲线和余弦曲线，在MATLAB命令窗口中输入 求方程的全部根(Draw sine curve and cosine curve Root of equation)

说明：  虹膜识别模式识别算法，MATlab程序编制，可采用软件自动转换(Pattern recognition algorithms)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

基于matlab 的相机标定的几篇论文，标定是机器视觉测量的基础内容。(Camera calibration based on matlab a few paper, calibration is the basis of machine vision measurement.)

Derive current and voltage an electric circuit with Euler Lagrange formulism

最优化算法中最速下降法的Matlab源码，很不错的源码，希望对你有用。(Optimization algorithm in the steepest descent method of Matlab source code, it is a good source, I hope useful to you.)

装配生产线任务平衡优化遗传算法通MATLAB源码，下面的源码实现了装配生产线任务平衡优化问题（ALB问题）的遗传算法，算法主要参考下面这篇文献，并对其进行了改进。(Task of assembly line balancing optimal genetic algorithm-pass MATLAB source code, the following source code to achieve the task of assembly line balancing optimization problem (ALB problem) of the genetic algorithm, this algorithm is the main reference the following documents, and its improvements.)

时变深衰落信道中的自适应均衡技术........(Deep fading channel time-varying adaptive equalization......)