PID

the files related to traning RBF network by Kalman filter

the file is matlab code for LAMP_HMM.I hope it is useful for user.thx

说明：  第一章:MATLAB6 简介 第二章:离散信号及其MATLAB实现 第三章:离散系统及其MATLAB实现 第四章:信号变换及其MATLAB实现 第五章:离散系统的结构及其MATLAB实现 第六.七.八章:基于MATLAB的IIR DF.FIR DF 设计 功率谱估计(Chapter I: MATLAB6 Introduction Chapter II: MATLAB realization of discrete signal and its Chapter III: discrete-time systems and its achievement of Chapter IV of MATLAB: MATLAB realization of the signal transform and its chapter V: the structure of discrete-time systems and its achievement of sixth MATLAB. 7 . VIII: MATLAB-Based Design of IIR DF.FIR DF power spectrum estimation)

图像局部特征检测算子的matlab程序 (an matlab program for image local feature )

精通matlab7这本书的例程，16-20部分(Proficient matlab7 this book part of the routine ,16-20)

利用互信息对图像进行配准，使用的是matlab自带的优化工具箱(image registration using mutunal information ,this is good method,though it s so simple)

MATLAB codes for blind forgery systems

电力系统运行分析的一个matlab程序。(a code in matlab about power system operating software )

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

时间序列分析中对于平稳时间序列建立模型，并实现模型的预测。(Time series analysis for stationary time series model, and the realization of the forecast model.)