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Description: 用Matlab与C的混合编程写的FFT（快速傅立叶变换）算法，具有运算快，易于使用和理解的优点。-Using Matlab and C programming to write a mixture of the FFT (Fast Fourier Transform) algorithm, with the operator fast, easy to use and understand the advantages.
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Author: Tang Ketan |
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Description: This the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two-This is the MATLAB code that was used to produce the figures and tables in Section V of
F. Forbes and G. Fort, Combining Monte Carlo and mean-field like methods for inference
in Hidden Markov Random Fields, Accepted for publication in IEEE Trans. on Image
Processing, 2006.
1
MATLAB has the capability of running functions written in C. The files which hold the source
for these functions are called MEX-Files. Some functions of our codes are written in C.
The purpose of this software is to implement the MCVEM algorithm, described in the paper
mentioned above, when applied to Image Segmentation. MCVEM consists in combining approximation
techniques - based on variational EM - and simulation techniques - based on MCMC
-.
This software is the first version that is made publicly available.
2 How to
2.1 Obtain the source code
Download it from
http://www.tsi.enst.fr/gfort/INRIA/MCVEM.html
After unpacking the archive, you should obtain
• two
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Author: jeevithajaikumar |
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Description: 1. Run mex -setup and choose a proper complier (Microsoft Visual C++ 6.0 is prefered)
Would you like mex to locate installed compilers [y]/n? y
2. Put cec15_func.cpp and input_data folder with your algorithm in the same folder. Set this folder as the current path.
3. Run the following command in Matlab window:
mex cec15_func.cpp -DWINDOWS
4. Then you can use the test functions as the following example:
f = cec15_func(x,func_num)
here x is a D*pop_size matrix.
5. main.m is an example test code with PSO algorithm.-1. Run mex -setup and choose a proper complier (Microsoft Visual C++ 6.0 is prefered)
Would you like mex to locate installed compilers [y]/n? y
2. Put cec15_func.cpp and input_data folder with your algorithm in the same folder. Set this folder as the current path.
3. Run the following command in Matlab window:
mex cec15_func.cpp -DWINDOWS
4. Then you can use the test functions as the following example:
f = cec15_func(x,func_num)
here x is a D*pop_size matrix.
5. main.m is an example test code with PSO algorithm.
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Size: 2034688 |
Author: bhalab |
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