A kepstrum approach to filtering, smoothing and prediction with application to speech enhancement

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aut.application.number© 2003 The Royal Society
aut.researcherMoir, Tom
dc.contributor.authorMoir, TJ
dc.contributor.authorBarrett, JF
dc.date.accessioned2011-06-09T02:39:27Z
dc.date.available2011-06-09T02:39:27Z
dc.date.copyright2003-12-08
dc.date.issued2003-12-08
dc.description.abstractA kepstrum (or complex-cepstrum) approach to minimum-phase Wiener filtering of stationary scalar processes is proposed and solved for the case of signal plus coloured noise, where the noise possibly includes a white-noise component. A general solution is found in an innovations form. The spectral factorization of the noise model and of the signal-plus-noise model required for the solution are determined from data using the kepstrum technique with the fast Fourier transform. This approach avoids dependence on any form of multidimensional state-space or polynomial-based model and so avoids use of recursive parameter estimation or of Diophantine equations.
dc.identifier.citationProceedings- Royal Society of London A, vol.459(2040), pp.2957 - 2976
dc.identifier.doi10.1098/rspa.2003.1137
dc.identifier.issn1364-5021
dc.identifier.urihttps://hdl.handle.net/10292/1265
dc.languageEN
dc.publisherThe Royal Society London
dc.relation.urihttp://dx.doi.org/10.1098/rspa.2003.1137
dc.rightsCopyright © The Royal Society 2003. The Royal Society is committed to the widest possible dissemination of research outputs. Authors may deposit a pre-print or a final, accepted manuscript version (post-print) of their article in a repository at any time. Articles more than 12 months old (biological sciences) and 24 months old (physical sciences) are freely available to all. This excludes the Digital Journal Archive (1665-2000).
dc.rights.accessrightsOpenAccess
dc.subjectKepstrum
dc.subjectComplex cepstrum
dc.subjectSmoothing
dc.subjectPrediction
dc.subjectColoured noise
dc.titleA kepstrum approach to filtering, smoothing and prediction with application to speech enhancement
dc.typeJournal Article
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
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