VDI_2230_calculation

matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。(This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others)

Merge Sort Implementation!!

说明：  fastica实测数据，可以做数据的预处理，保留有用信号，滤除噪声(FastICA measured data, can do data preprocessing, retain useful signal, filter noise)

说明：  一个使用matlab进行音频信息处理的实例，对输入的语音信号，进行合成与分析。(Using matlab audio examples of information processing, the input voice signal, to carry out synthesis and analysis.)

由电脑随机产生一个整数，让用户去猜，如果用户猜的比电脑大，则输出“大了，再小点！”，反之则输出“小了，再大点！”(An integer randomly generated by computer, allowing users to guess, if you guess more than a computer major, then the output of the "big, and then dot!", Otherwise the output is "small, then big points!")

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )

matlab programs counting coins finding an object in an image gui in matlab codes in image processing in matlab , math calculator with gui in matlab

matlab-edu-codes 32 .m files !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

基于高斯混合模型(GMM)的em算法，给出了其matlab实现(em algorithm for GMM)

维特比算法，用于对卷积码进行解码，算法最小化汉明距离而不是似然函数(Viterbi algorithm. The Viterbi decoder for convolutional codes.This algorithm minimizes the metric rather than maximizingthe likelihood.)