EEMD family, Matlab version. PARFOR supported.zip

eemd-matlab =========== EEMD family, Matlab version. PARFOR supported. run `matlabpool open 8` to enable parallel computing. # core functions ## emd.m Empirical mode decomposition. No ensemble, no additional white noise. ``` c = emd(y, goal) ``` `y`: one-dimensional input data `goal`: target mode numbers to decompose ## eemd.m Ensemble empirical mode decomposition. ``` modes = eemd(y, goal, ens, nos) ``` Please note if you are running with a 64-bit Windows PC, Matlab will automatically run with `eemd.mexw64` instead of this script. ## eemd2.m ``` modes = eemd2(img, goal, ens, nos_wn) [modes, G, D] = eemd2(img, goal, ens, nos_wn) ``` ## eemd3.m ``` modes = eemd3(img, goal, ens, nos_wn) [modes, O, P, Q] = eemd3(img, goal, ens, nos_wn) ``` # Demo files ## eemd_2d_demo.m Running this file will give you decomposed modes of a 64x64 Lena image. ## eemd_3d_demo.m Running this file will decompose a 54x54x54 volume of a Mimivirus. Please be carful as running this demo will cost up to 20 GB memory. # MEX compilaion ``` mex -IC:/path/to/boost_1_55_0 cpp/eemd.cpp ``` Replace `C:/path/to/boost_1_55_0` with path to Boost on your computer. # Routine functions ## zerox.m ## find_extrema.m