Matlab-high-level

主要讲Matlab信号与系统方面的知识，对熟悉与了解MATLAB很有帮助(Matlab main speaker signal and system knowledge, and understanding to people familiar with MATLAB helpful)

Fuzzy controller for a thermal process using the guide interface of MATLAB and the USB communication whith a PIC 18F4455 microcontroller.

5次bezier曲线可以运行，已经经过尝试(5 bezier curve can run, has been tried)

计算泊松方程的方程程序算法。计算物理的非常经典的算法之一。(An algorithm for calculating the Poisson equation. One of the very classic algorithms for computing physics)

面向Matlab工具箱的神经网络理论与应用,搞图像的要看。(Matlab toolbox for neural network theory and applications, engaging look at the image.)

KNN算法实现，初始化模糊成员等级 initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)

数值分析中的插值与拟合，有详细的讲解和配套matlab源代码(Numerical analysis of interpolation and fitting, detailed explanations and supporting source code matlab)

MATLAB 2010a中的符号计算的入门与讲解(Entry and explain the symbolic computation in MATLAB 2010a)

一个讲述MATLAB基础的ppt格式的教程，内容比较详尽(About the basis of a MATLAB tutorial ppt format, content, more detailed)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)