PIDZHENGDING

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)

The MATLAB simulation for Least Mean Square (LMS)and LMS equilizer.

This program is for the implementation of Symbol table using C language in which we can create a symbol table and also insert, modify, search and display the elements in the symbol table.

Will detect facial expressions in an video formate and find it by using neural networks

线分割用于图像的边缘提取线 分割用于图像的边缘提取(Line segmentation for image edge extraction line segmentation for image edge extraction)

利用matlab实现的蒙特卡罗算法代码,大家可以一起究研一下!(Monte Carlo algorithm is implemented using matlab code, we can study with the study look at!)

face recognition pca code

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)

all about vedic mathematics and some matlab files

The following Matlab project contains the source code and Matlab examples used for continuous wavelet transform and inverse.