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A Novel Thresholding Technique for the Denoising of Multicomponent Signals

Abstract: 

This paper addresses the issues of the denoising and retrieval of the components of multicomponent signals from their short-time Fourier transform (STFT). After having recalled the hard-thresholding technique, in the STFT context, we develop a new thresholding technique by exploiting some limitations of the former. Numerical experiments illustrating the benefits of the proposed method to retrieve the modes of noisy multicomponent signals conclude the paper.

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Paper Details

Authors:
Sylvain Meignen
Submitted On:
15 April 2018 - 8:50am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Patrick Flandrin
Paper Code:
ICASSP18001
Document Year:
2018
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Document Files

presentation_cor_Sylvain.pdf

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[1] Sylvain Meignen, "A Novel Thresholding Technique for the Denoising of Multicomponent Signals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2893. Accessed: Dec. 12, 2018.
@article{2893-18,
url = {http://sigport.org/2893},
author = {Sylvain Meignen },
publisher = {IEEE SigPort},
title = {A Novel Thresholding Technique for the Denoising of Multicomponent Signals},
year = {2018} }
TY - EJOUR
T1 - A Novel Thresholding Technique for the Denoising of Multicomponent Signals
AU - Sylvain Meignen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2893
ER -
Sylvain Meignen. (2018). A Novel Thresholding Technique for the Denoising of Multicomponent Signals. IEEE SigPort. http://sigport.org/2893
Sylvain Meignen, 2018. A Novel Thresholding Technique for the Denoising of Multicomponent Signals. Available at: http://sigport.org/2893.
Sylvain Meignen. (2018). "A Novel Thresholding Technique for the Denoising of Multicomponent Signals." Web.
1. Sylvain Meignen. A Novel Thresholding Technique for the Denoising of Multicomponent Signals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2893