We give a short account of some time-frequency methods which are relevant in the context of gravity waves detection. We focus on the case of wavelet analysis which we believe is particularly appropriate. We show how wavelet transforms can lead to efficient algorithms for detection and parameter estimation of binary coalescence signals. In addition, we give in an appendix some of the ingredients needed for the construction of discrete wavelet decompositions and corresponding fast algorithms.
@article{bwmeta1.element.bwnjournal-article-bcpv41z2p179bwm,
author = {Innocent, Jean-Michel and Torr\'esani, Bruno},
title = {Wavelet transform and binary coalescence detection},
journal = {Banach Center Publications},
volume = {38},
year = {1997},
pages = {179-208},
zbl = {0960.94007},
language = {en},
url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-bcpv41z2p179bwm}
}
Innocent, Jean-Michel; Torrésani, Bruno. Wavelet transform and binary coalescence detection. Banach Center Publications, Tome 38 (1997) pp. 179-208. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-bcpv41z2p179bwm/
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