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A maximum entropy approach to interpolation

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cris.author.scopus-author-id6603029053
cris.author.scopus-author-id7005425450
dc.contributor.authorFathima, S. Tanveer
dc.contributor.authorYegnanarayana, B.
dc.date.accessioned2023-09-20T06:44:45Z
dc.date.available2023-09-20T06:44:45Z
dc.date.issued01-01-1990
dc.description.abstractThe maximum entropy approach has been applied to several problems including spectrum estimation, image reconstruction, etc. In this paper we use this approach to address the interpolation problem. Specifically, we address the problem of recovery of the missing samples of a signal from a few of its randomly distributed samples. We also discuss the appropriateness of the maximum entropy method for different distributions of the known samples. Finally, we extend this method to handle additional information about the signal, if available. © 1990.
dc.identifier.doi10.1016/0165-1684(90)90023-R
dc.identifier.issn1651684
dc.identifier.scopus2-s2.0-0025495017
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/60576
dc.relation.ispartofseriesSignal Processing
dc.sourceSignal Processing
dc.subjectEntropy
dc.subjectinterpolation
dc.subjectreconstruction
dc.titleA maximum entropy approach to interpolation
dc.typeJournal
dspace.entity.typePublication
oaire.citation.endPage24
oaire.citation.issue1
oaire.citation.startPage17
oaire.citation.volume21
person.affiliation.cityChennai
person.affiliation.id60025757
person.affiliation.nameIndian Institute of Technology Madras
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