Abstract:
It is well known that the empirical mode decomposition algorithm does not always return an appropriate decomposition due to problems like mode mixing. In this paper, we consider the problem of a component being split across several intrinsic mode functions (IMFs). We propose the use of a hidden Markov model (HMM) to track the dominant component across the set of IMFs returned by EMD. We provide an example demonstrating the proposed tracking using an acoustic recording where component splitting is present in the decomposition and compare our method to two other possible tracking approaches. We show that the proposed method provides a compromise between smoothness and energy associated with the tracked component.
Paper Details
- Authors:
- Submitted On:
- 26 November 2018 - 4:23pm
- Short Link:
- Type:
- Presentation Slides
- Event:
- Presenter's Name:
- Matthew Bredin
- Document Year:
- 2018
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[1] Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon,
"Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model",
IEEE SigPort,
2018. [Online]. Available: http://sigport.org/3734. Accessed: Oct. 15, 2019.
@article{3734-18,
url = {http://sigport.org/3734},
author = {Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon },
publisher = {IEEE SigPort},
title = {Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model},
year = {2018} }
url = {http://sigport.org/3734},
author = {Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon },
publisher = {IEEE SigPort},
title = {Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model},
year = {2018} }
TY - EJOUR
T1 - Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model
AU - Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3734
ER -
T1 - Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model
AU - Steven Sandoval; Matthew Bredin; and Phillip L.~De Leon
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3734
ER -
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon.
(2018).
Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model.
IEEE SigPort.
http://sigport.org/3734
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon,
2018.
Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model.
Available at:
http://sigport.org/3734.
Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon.
(2018).
"Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model."
Web.
1. Steven Sandoval, Matthew Bredin, and Phillip L.~De Leon.
Dominant Component Tracking for Empirical Mode Decomposition using a Hidden Markov Model [Internet].
IEEE SigPort; 2018.
Available from :
http://sigport.org/3734
