extractArchive

利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。(Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.)

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

this is matlab code for estimating the static linear system(system function is time variable) with Kalman Filter. this program is written by matlab 7.0. Here we want to estimate the below function: this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result. 1- using the Covariance Matrix Reseting in a specefic time. 2-using the RLS with Forget Factor this program is written by matlab 7.0. Here we want to estimate the below function: 1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7 finally,there are plots for showing results.

In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural network we will use for the classification. We continue by testing the network in real life conditions. We conclude with a review of the methods used, and how they could be improved.

PID的matlab和语言编程算法 适合读读理解PID编程实现(Matlab language programming of PID and PID algorithm is suitable read to understand programming)

涡旋光束，幂指数涡旋光束，新型光束，捕获粒子，特殊光学(Vortex beams, exponential vortex beams, the new beam, trapped particles, special optical)

最短路径算法，内含5个m文件首先在m脚本文件canshuo.m中输入节点个数和路径权重(The shortest path algorithm, containing 5 m file first in the m script file canshuo.m in the number of input nodes and path weights)

说明：  基于短时能量 短时过零率 自相关函数的语音清浊分类算法(Zero based on short-term rate of short-term energy autocorrelation function of speech voicing classification algorithm)

移动通信原理中LDPC码的编码仿真程序，是通信原理中LDPC码仿真的好例子！(LDPC code)

基于matlab的EOF分解程序，包括旋转EOF分解，复数EOF分解等，附带详细的例子(matlab, including rotated EOF decomposition, plural EOF decomposition, etc., along with detailed examples)