% INDEX_EMD.M list of functions in the EMD package% % type help function_name for more information on a specific function% % Empirical Mode Decomposition%%   emd          - computes EMD and bivariate/complex EMD with various options%   emd_local    - computes local EMD variation%   emd_online   - computes on-line EMD variation. Note that it does not truly%                  apply on-line: the function is only a demonstration.%   emdc         - fast implementation for EMD with Cauchy-like stopping criterion%                  (requires compilation, see make_emdc function)%   emdc_fix     - fast implementation for EMD with predefined number of iterations%                  (requires compilation, see make_emdc function)%   cemdc        - fast implementation for bivariate/complex EMD (first algorithm)%                  with Cauchy-like stopping criterion (requires compilation,%                  see make_emdc function)%   cemdc_fix    - fast implementation for bivariate/complex EMD (first algorithm)%                  with predefined number of iterations (requires compilation,%                  see make_emdc function)%   cemdc2       - fast implementation for bivariate/complex EMD (second algorithm)%                  with Cauchy-like stopping criterion (requires compilation,%                  see make_emdc function)%   cemdc2_fix   - fast implementation for bivariate/complex EMD (second algorithm)%                  with predefined number of iterations (requires compilation,%                  see make_emdc function)% % Utilities% %   install_emd   - setup Matlab's path and compile the C codes.%   uninstall_emd - revert the modifications made by install_emd and remove the %                   files (optional).%   make_emdc     - compile all C codes%   emd_visu      - visualization of EMD%   cemd_visu     - visualization of bivariate/complex EMD (automatically called%                   by emd_visu when the input is complex)%   cenvelope     - compute envelope curves for bivariate/complex EMD%   cemd_disp     - visualization of envelope curves and tube envelope%   plot3c        - plot a complex vector in 3 dimensions%   plotc         - plot the projection of a complex vector on a variable direction%   dirstretch    - directional stretching of a complex vector%   hhspectrum    - compute Hilbert-Huang spectrum (need the Time-Frequency Toolbox%                   http://tftb.nongnu.org)%   toimage       - transform a spectrum made of 1D functions (e.g., output of%                   "hhspectrum") in an 2D image%   disp_hhs      - display the image output of "toimage" as a Hilbert-Huang spectrum%   addtag        - add a tag to a graphic object (uses the Tag property as a list%                   of keywords or "tags")%   rmtag         - remove a tag from a graphic object (uses the Tag property as%                   a list of keywords or "tags")%   hastag        - test whether a graphic object has a specific tag (uses the Tag%                   property as a list of keywords or "tags")%   findtag       - find objects having a specific tag (uses the Tag property as%                   a list of keywords or "tags")%   % Examples from G. Rilling, P. Flandrin and P. Gon鏰lves,%   "On Empirical Mode Decomposition and its algorithms"%   IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing%   NSIP-03, Grado (I), June 2003%   %   emd_fmsin         - Fig. 1: a 3-component example (need the Time-Frequency %                       Toolbox http://tftb.nongnu.org)%   emd_triang        - Fig. 2: another 3-component example%   emd_sampling      - Fig. 3: effect of sampling on 1 tone%   emd_separation    - Fig. 4: separation of 2 tones%   ex_online         - Sect 3.4: the way emd_online.m works%   triangular_signal - subroutine called by emd_triang (formerly triang.m)%   % Examples from G. Rilling, P. Flandrin, P. Gon鏰lves and J. M. Lilly,%   "Bivariate Empirical Mode Decomposition",%   Signal Processing Letters (submitted)% %   bivariate_EMD_principle        - Fig. 1: principle of the bivariate/complex EMD%   bivariate_EMD_mean_definitions - Fig. 2: definition of the mean for each algorithm. %                                    Also allows to test other signals and parameter sets.%   bivariate_EMD_illustration     - Fig. 3: illustration of the bivariate EMD%                                    on an oceanographic float position recordhelp index_emd