Discrete Convolution by Means of Forward and Backward Modeling

Detalhes bibliográficos
Autor(a) principal: Porsani, Milton José
Data de Publicação: 1989
Outros Autores: Ulrych, Tad J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/13662
Resumo: p. 1680-1686
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spelling Porsani, Milton JoséUlrych, Tad J.Porsani, Milton JoséUlrych, Tad J.2013-11-16T12:45:41Z2013-11-16T12:45:41Z19890096-3518http://repositorio.ufba.br/ri/handle/ri/13662v. 37, n. 2p. 1680-1686The standard methods of performing discrete convolution, that is, directly in the time domain or by means of the fast Fourier transform in the frequency domain, implicitly assume that the signals to be convolved are zero outside the observation intervals. Often this assumption produces undesirable end effects which are particularly severe when the signals are short in duration. This paper presents an approach to discrete convolution which obviates the zero assumption. The method is structurally similar to the Burg method [l], which estimates the autocorrelation coefficients of a series in a manner which does not require a predefinition of the behavior of the signal outside of the known interval. The basic principle of the present approach is that each term of the convolution is recursively determined from previous terms in a manner consistent with the optimal modeling of one signal into the other. The recursion uses forward and backward modeling together with the Morf et al. [2] algorithm for computation of the prediction error filter. The method is illustrated by application to the computation of the analytic signal and the derivative.Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2013-09-23T18:50:20Z No. of bitstreams: 1 555555555555555555555.pdf: 575198 bytes, checksum: e96ac93cbf29121cadb5e6da9f00832b (MD5)Approved for entry into archive by Rodrigo Meirelles (rodrigomei@ufba.br) on 2013-11-16T12:45:41Z (GMT) No. of bitstreams: 1 555555555555555555555.pdf: 575198 bytes, checksum: e96ac93cbf29121cadb5e6da9f00832b (MD5)Made available in DSpace on 2013-11-16T12:45:41Z (GMT). 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dc.title.pt_BR.fl_str_mv Discrete Convolution by Means of Forward and Backward Modeling
dc.title.alternative.pt_BR.fl_str_mv IEEE transactions on acoustics, speech, and signal processing
title Discrete Convolution by Means of Forward and Backward Modeling
spellingShingle Discrete Convolution by Means of Forward and Backward Modeling
Porsani, Milton José
title_short Discrete Convolution by Means of Forward and Backward Modeling
title_full Discrete Convolution by Means of Forward and Backward Modeling
title_fullStr Discrete Convolution by Means of Forward and Backward Modeling
title_full_unstemmed Discrete Convolution by Means of Forward and Backward Modeling
title_sort Discrete Convolution by Means of Forward and Backward Modeling
author Porsani, Milton José
author_facet Porsani, Milton José
Ulrych, Tad J.
author_role author
author2 Ulrych, Tad J.
author2_role author
dc.contributor.author.fl_str_mv Porsani, Milton José
Ulrych, Tad J.
Porsani, Milton José
Ulrych, Tad J.
description p. 1680-1686
publishDate 1989
dc.date.issued.fl_str_mv 1989
dc.date.accessioned.fl_str_mv 2013-11-16T12:45:41Z
dc.date.available.fl_str_mv 2013-11-16T12:45:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/13662
dc.identifier.issn.none.fl_str_mv 0096-3518
dc.identifier.number.pt_BR.fl_str_mv v. 37, n. 2
identifier_str_mv 0096-3518
v. 37, n. 2
url http://repositorio.ufba.br/ri/handle/ri/13662
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv IEEE transactions on acoustics, speech, and signal processing
publisher.none.fl_str_mv IEEE transactions on acoustics, speech, and signal processing
dc.source.pt_BR.fl_str_mv 10.1109/29.46550
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