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同时计算关联维和Kolmogorov熵
说明: 关于非线性时间序列中同时计算关联维和Kolmogorov熵的程序,(on nonlinear time series simultaneously calculate the correlation dimension and Kolmogorov entropy procedures,)
- 2020-12-10 16:29:20下载
- 积分:1
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gridsegmentation
说明: 这是个关于图像分水岭分割算法的源程序,用matlab实现。(This is a watershed segmentation algorithm on the image source, using matlab to achieve.)
- 2010-04-26 10:32:39下载
- 积分:1
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Chapter_1
chapter 1 of the fdtd method for electromagnetics with matlab simulations
- 2013-12-03 09:40:07下载
- 积分:1
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fcmthresh
FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of
image IM using a 3-class fuzzy c-means clustering. It often works better
than Otsu s methold which outputs larger or smaller threshold on
fluorescence images.
sw is 0 or 1, a switch of cut-off position.
sw=0, cut between the small and middle class
sw=1, cut between the middle and large class
Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn)
at Tsinghua University, Beijing, China.
Please try testfcmthresh.m first!
- 2013-04-21 07:13:23下载
- 积分:1
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runge-kutta-of-2stage-4th-order
龙格库塔算法的加速算法(matlab),拟二步四阶算法(the accelerating of runge-kutta method by matlab)
- 2012-04-13 18:49:22下载
- 积分:1
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piecewise_eval
LINEINTRGAL Line Integral in a 2D Vector Field.
LINEINTRGAL(X,Y,U,V,C) computes the line integral along the lines given in cell array C.
X and Y define the coordinates of a rectangular grid over which
U and V are defined. X and Y must be monotonic and 2D plaid as
% produced by MESHGRID. X, Y, U, and V must all be the same size.(LINEINTRGAL Line Integral in a 2D Vector-Fi eld. LINEINTRGAL (X, Y, U, V, C) computes the line integral along the lines gi ven in cell array C. X and Y coordinate define the s of a rectangular grid over which U and V are defi ned. X and Y must be monotonic and 2D plaid% as pro duced by MESHGRID. X, Y, U, and V must all be the same size.)
- 2006-12-14 21:44:49下载
- 积分:1
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lda_test
Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature vectors
P = eigen vectors
mX = mean of GPV (optional in input)
D = eigen values
- 2013-07-09 15:03:43下载
- 积分:1
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thomas
Thomas Fiering model, for the day, month, Stochastic Simulation of runoff
- 2013-07-17 14:34:36下载
- 积分:1
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Localization-(Calibration)xx
it is a software ti localize wireless sensor network
- 2012-09-19 21:32:55下载
- 积分:1
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MITmatlab
美国麻省理工学院MIT的MATLAB介绍,值得一读!(book)
- 2009-05-14 20:06:17下载
- 积分:1