IntroductiontoOpticalWaveguideAnalysis

The basic face recognition gives as results the ID of nearest person present in database

说明：  随机共振的弱信号检测，运用朗格万方程进行MATLAB的仿真(stochasitc resouance using for detecting the weaken signals,based on longawan function)

Dominant-set聚类算法，主要用于图像分割，检索等(Dominant-set clustering algorithm, mainly for image segmentation, search)

LMS adaptive fulter in matlab. for remove echo in telecomunication

K-SVD可以看做K-means的一种泛化形式，K-means算法总每个信号量只能用一个原子来近似表示，而K-SVD中每个信号是用多个原子的线性组合来表示的。 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用。(K-SVD can be regarded as a generalized form of K-means. The total K-means algorithm can only approximate one signal for each semaphore, and each signal in K-SVD is a linear combination of multiple atoms To express. K-SVD through the construction of the dictionary to sparse data representation, often used for image compression, encoding, classification and other applications.)

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。(matlab is a mathematical calculation, graphics processing and programming language design software integrated through matlab to realize the digital signal processing of expression, and ultimately realize the purpose of curriculum design.)

说明：  DBN算法-机器学习-电力系统预测 亲自编写可以使用(DBN algorithm machine learning power system prediction)

本代码是数理统计与MATLAB工程数据分析一书中第8章的原代码，对本章学习有很大帮助。(This code are of mathematical statistics and MATLAB data analysis project, a book in Chapter 8 of the original code, the study of this chapter are very helpful.)

It s about smart antenna. It can help you whatever it is.

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)