Abstract Details
Activity Number:
|
227
|
Type:
|
Topic Contributed
|
Date/Time:
|
Monday, August 5, 2013 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Nonparametric Statistics
|
Abstract - #308222 |
Title:
|
Extending the Scope of Empirical Mode Decomposition by Smoothing
|
Author(s):
|
Hee-Seok Oh*+
|
Companies:
|
Seoul National University
|
Keywords:
|
Empirical mode decomposition ;
Intrinsic mode function ;
Irregularly spaced data ;
Smoothing ;
Ultra-high frequency
|
Abstract:
|
This talk considers extending the scope of the empirical mode decomposition (EMD) method. The extension is aimed at noisy data and irregularly spaced data, which is necessary for widespread applicability of EMD. The proposed algorithm, called statistical EMD (SEMD), uses a smoothing technique instead of an interpolation when constructing upper and lower envelopes. Using SEMD, we discuss how to identify non-informative ?uctuations such as noise, outliers, and ultra-high frequency components from the signal, and to decompose irregularly spaced data into several components without distortions.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.