hinet

较简单的车牌定位方法,并用matlab实现,该程序得到我老师的好评!(A simpler method of license plate location and use matlab implementation, the program received high praise from my teacher!)

说明：  多天线等距线阵阵列波束形成，鲁棒稳健处理程序(Equidistance line bursts out multi-antenna beamforming, robust sound processing)

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

说明：  节点重要度计算方法源代码 详细介绍了算法的应用(The application of the algorithm is introduced in detail in the source code)

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the ratio of deviation (P), integral (I) and differential (D) to control the PID controller (also known as PID regulators) is the most widely used an automatic controller.)

说明：  通过不同大小的窗口移动，计算每个窗口内地形剖面数据的均方根值，得到的数据在双对数图中拟合直线可求得分维数(move the windows of different size and calculate the rms of the data in the window.Then using the resultant data to plot,so that the fractal dimension can be gotten.)

利用MATLAB 提取ECG 波形数据,从图像中采集心电波形非常有用。(extracting ECG data from images)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

数学建模比赛训练的代码，里面有matlab软和lingo软件的一些代码(Mathematical modeling training game code, there are some code matlab soft lingo software)

在网上下载到的各种降维方法的MATLAB程序，希望对大家能有所帮助(Downloaded to a variety of methods of dimensionality reduction MATLAB procedures, in the hope that we can help)