ofdmwaterfilling

通过自适应算法来预测将来的变化。是通过matlab来实现的。已经调试完成(Through the adaptive algorithm to predict the future changes. Are achieved through matlab. Have been debug finish)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

matlab应用指南，讨论如何用多源代码文件来构造一个程序。(matlab guide, discuss how to use multiple source code files to construct a program)

运用fdtd算法研究2维介质圆柱散射的程序(The use of the fdtd Algorithm for 2-D dielectric cylinder scattering process)

将脑电波数据转换为脑电波谱并显示为脑电谱图像(EEG to Tones)

说明：  采用MATLAB编写的GMDH软件，里面有三个.m程序，分别为训练、误差检测、预测输出。很好用。(GMDH using software written in MATLAB, which has three. M steps in the training, error detection, prediction output. Good use.)

matlab编写，语音处理中求LPC系数的自相关程序(Matlab prepared speech processing for LPC coefficients of the relevant procedures)

demonstrates the forward difference method

本文利用MATLAB从预处理、边缘检测、车牌定位、车牌切割，字符分割、字符识别等几个方面，具体介绍了数字图像处理中车牌自动识别的原理。(In this paper , Principle of automatic license plate recognition in digital image processing is specially introduced using MATLAB from some perspectives , which conclude processing , edge detection , license plate location , license plate cutting , character segmentation ,character recognition. )

简单的实例，希望对初学者有一定的指导作用，尤其是写程序总出错的问题(Simple example, I hope to have some guidance for beginners, especially the written procedures of the total error problem)