短时自相关函数与短时幅度函数计算的Matlab实现

PF and RBPF for conditionally Gaussian JMLS. (PF and RBPF for conditionally Gaussian JML S.)

利用MATLAB语言编写的遗传算法优化小波神经网络的源程序(Genetic algorithm to optimize the wavelet neural network source code written in MATLAB language)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

卡尔曼滤波器基本程序，适合初学者使用，一目了然(KALMAN filter)

anti-windup scheme example

程序理论详见内附的pdf：《Hamilton图的充要条件及圈的矩阵算法》 主程序为 [K]=getPk(A,k) A表示图的邻接矩阵，k表示k阶长路和圈 返回K表示该图的所有k阶长路和圈 其他函数介绍： Ppro定义路的乘法 Psum定义路的加法 MatPro定义路矩阵的乘法 isaPorC判断是否为路或圈 P2subP提取路的和式中的所有路 getP1从邻接矩阵得到1阶路矩阵(get a k-path from a graph)

matlab遗传算法程序，非常不错的，欢迎下载(matlab for GE)

风电混沌序列嵌入维数的计算，经证实简单有效(Wind power chaotic sequence embedding dimension calculation, proved to be simple and effective)

simulation QPSK on fading channel with convulation code

说明：  SURF算法，是SIFT的升级版，速度更快，性能也不差，快速实现图像特征点的检测和匹配。(SURF algorithm, is an upgraded version of SIFT, faster, not bad performance, rapid detection of image feature points and matching.)