interest-points

matlab 畸变校正。功能：对发生桶形畸变的数字图像进行校正(Function: Digital image of barrel distortion correction occurs)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

C++ 中使用matlab中的函数，一个简单的使用例子(use of Matlab function, a simple example of the use of)

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

#include "comparer.h" #include <iostream> using namespace std int Comparer::compareByName(Student& s1,Student& s2) { return strcmp(s1.m_szName,s2.m_szName) } int Comparer::compareBySurname(Student& s1,Student& s2) { return strcmp(s1.m_szSurname,s2.m_szSurname) } int Comparer::compareByGroup(Student& s1,Student& s2) {

基于matlab的一个，计算机虚拟程序，有一个完整的算例。(Matlab a computer virtual program, a complete example.)

************内存结构五大区***************(*********** Five regions of memory structure)

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針對單輸入與雙輸入模糊溫度控制系統，以C語言程式分別實現(For single-input and two-input fuzzy temperature control system to realize, respectively, C language programs)

响应面法matlaB程序，大家可以下载。(RMS code)