Multidimensional empirical mode decomposition: Difference between revisions

Content deleted Content added
Bender the Bot (talk | contribs)
m FABEMD algorithm<ref name=":0" />: HTTP → HTTPS for IEEE Xplore, replaced: http://ieeexplore.ieee.org/document/ → https://ieeexplore.ieee.org/document/
Line 213:
: <math>\ell = n - \frac{w_{ex} - 1}{2}:n + \frac{w_{ex} - 1}{2},(\ell \ne n)</math><ref name=":0" />
 
;[[File:Flow chart for FABEMD algorithm.jpg|thumb|upright|Flow chart for FABEMD algorithm<ref>{{Cite web|url=httphttps://ieeexplore.ieee.org/document/4517859/|title=Sharif M. A. Bhuiyan, Reza R. Adhami, Jesmin F. Khan, "A Novel Approach of Fast and Adaptive Bidimensional Empirical Mode Decomposition", IEEE International Conference Acoustics, Speech and Signal Processing, 2008.|last=|first=|date=|website=|publisher=|access-date=}}</ref>]]Step 2 – Obtain the size of window for order-statistic filter
 
At first, we define <math>d_{\mathrm{adj}-\max}</math> and <math>d_{\mathrm{adj}-\min}</math> to be the maximum and minimum distance in the array which is calculated from each local maximum or minimum point to the nearest nonzero element. Also, <math>d_{\mathrm{adj}-\max}</math> and <math>d_{\mathrm{adj}-\min}</math> will be sorted in descending order in the array according to the convenient selection. Otherwise, we will only consider square window. Thus, the gross window width will be as follows: