%0 Journal Article %1 sebe_etal:2005 %A Sèbe, Olivier %A Bard, Pierre-Yves %A Guilbert, Jocelyn %D 2005 %J Geophysical Research Letters %K geophysics seismology %N 14 %P L14308+ %R 10.1029/2005GL022799 %T Single station estimation of seismic source time function from coda waves: The Kursk disaster %U http://dx.doi.org/10.1029/2005GL022799 %V 32 %X We propose a high-resolution technique for estimating the source time function of a seismic event from only one record. This technique is based on the spectral factorization of the minimum phase wavelet from the most random part of a seismogram: its coda. As the coda non-stationarity is inconsistent with the classical spectral factorization theory, we develop a two-step algorithm: first, the diffuse coda field is whitened to remove the non-stationary attenuation effect; second, the minimum phase wavelet equivalent of the seismic source time function is estimated. Applied to the recordings of the Kursk's wreck, this method gives a source wavelet strikingly similar to the general shape of an underwater explosion, allowing us to infer its depth and yield. Based on the fundamental ” random” character of diffusive waves, this approach opens up promising applications for new blind deconvolution methods.

@article{sebe_etal:2005, abstract = {We propose a high-resolution technique for estimating the source time function of a seismic event from only one record. This technique is based on the spectral factorization of the minimum phase wavelet from the most random part of a seismogram: its coda. As the coda non-stationarity is inconsistent with the classical spectral factorization theory, we develop a two-step algorithm: first, the diffuse coda field is whitened to remove the non-stationary attenuation effect; second, the minimum phase wavelet equivalent of the seismic source time function is estimated. Applied to the recordings of the Kursk's wreck, this method gives a source wavelet strikingly similar to the general shape of an underwater explosion, allowing us to infer its depth and yield. Based on the fundamental ” random” character of diffusive waves, this approach opens up promising applications for new blind deconvolution methods.}, added-at = {2012-09-01T13:08:21.000+0200}, author = {S\`{e}be, Olivier and Bard, Pierre-Yves and Guilbert, Jocelyn}, biburl = {https://www.bibsonomy.org/bibtex/2fc28c0c9a7ebc82bd78940e77fe59573/nilsma}, day = 23, doi = {10.1029/2005GL022799}, interhash = {ad015cdf42f7ab19758b2e63c10df14e}, intrahash = {fc28c0c9a7ebc82bd78940e77fe59573}, issn = {0094-8276}, journal = {Geophysical Research Letters}, keywords = {geophysics seismology}, month = jul, number = 14, pages = {L14308+}, timestamp = {2021-02-09T13:25:06.000+0100}, title = {Single station estimation of seismic source time function from coda waves: The Kursk disaster}, url = {http://dx.doi.org/10.1029/2005GL022799}, volume = 32, year = 2005 }