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Filtering out time-frequency areas using Gabor multipliers

Abstract: 

We address the problem of filtering out localized time-frequency components in signals. The problem is formulatedas a minimization of a suitable quadratic form, that involves adata fidelity term on the short-time Fourier transform outsidethe support of the undesired component, and an energy pe-nalization term inside the support. The minimization yields alinear system whose solution can be expressed in closed formusing Gabor multipliers. We provide an analysis of the solu-tion and its approximation by truncated eigenvalue expansion,and illustrate its performance on synthetic mixtures of audiosignals. The proposed approach outperforms approaches thatare routinely used in applications.

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Paper Details

Authors:
Submitted On:
5 June 2020 - 6:56am
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Presentation Slides
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Presenter's Name:
A. Marina KREME

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icassp_2020_Mkreme.pdf

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[1] , "Filtering out time-frequency areas using Gabor multipliers", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5455. Accessed: Dec. 02, 2020.
@article{5455-20,
url = {http://sigport.org/5455},
author = { },
publisher = {IEEE SigPort},
title = {Filtering out time-frequency areas using Gabor multipliers},
year = {2020} }
TY - EJOUR
T1 - Filtering out time-frequency areas using Gabor multipliers
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5455
ER -
. (2020). Filtering out time-frequency areas using Gabor multipliers. IEEE SigPort. http://sigport.org/5455
, 2020. Filtering out time-frequency areas using Gabor multipliers. Available at: http://sigport.org/5455.
. (2020). "Filtering out time-frequency areas using Gabor multipliers." Web.
1. . Filtering out time-frequency areas using Gabor multipliers [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5455