TY - GEN
T1 - Sparse time-frequency representation of gravitational-wave signals in unions of Wilson bases
AU - Bammey, Quentin
AU - Bacon, Philippe
AU - Chassande-Mottin, Eric
AU - Fraysse, Aurelia
AU - Jaffard, Stéphane
N1 - Publisher Copyright:
© EURASIP 2018.
PY - 2018/11/29
Y1 - 2018/11/29
N2 - We investigate the question of obtaining a reduced time-frequency description of a chirp type signal that can be used as reference pattern in time-frequency searches. This is particularly relevant for searches of transient gravitational waves from astrophysical sources such as the mergers of neutron stars and/or black holes, the main area of this study. Sparse approximation algorithms that allow constraints on the approximation error do not perform well when the decomposition bases are redundant. This study puts in evidence some of the shortcomings of sparse approximation algorithms when dealing with unions of highly correlated bases, a case that currently lacks of a comprehensive mathematical analysis, and proposes solutions to mitigate them. We propose a variation of the matching pursuit algorithm that improves its robustness in the context of gravitational waves patterns construction. We also compare this algorithm to standard sparse approximation methods.
AB - We investigate the question of obtaining a reduced time-frequency description of a chirp type signal that can be used as reference pattern in time-frequency searches. This is particularly relevant for searches of transient gravitational waves from astrophysical sources such as the mergers of neutron stars and/or black holes, the main area of this study. Sparse approximation algorithms that allow constraints on the approximation error do not perform well when the decomposition bases are redundant. This study puts in evidence some of the shortcomings of sparse approximation algorithms when dealing with unions of highly correlated bases, a case that currently lacks of a comprehensive mathematical analysis, and proposes solutions to mitigate them. We propose a variation of the matching pursuit algorithm that improves its robustness in the context of gravitational waves patterns construction. We also compare this algorithm to standard sparse approximation methods.
UR - https://www.scopus.com/pages/publications/85059811309
U2 - 10.23919/EUSIPCO.2018.8553079
DO - 10.23919/EUSIPCO.2018.8553079
M3 - Conference contribution
AN - SCOPUS:85059811309
T3 - European Signal Processing Conference
SP - 1755
EP - 1759
BT - 2018 26th European Signal Processing Conference, EUSIPCO 2018
PB - European Signal Processing Conference, EUSIPCO
T2 - 26th European Signal Processing Conference, EUSIPCO 2018
Y2 - 3 September 2018 through 7 September 2018
ER -