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Real-time implementation of a Doppler signal spectral estimator using sequential and parallel processing techniques

dc.contributor.authorMadeira, M. M.
dc.contributor.authorTokhi, M. O.
dc.contributor.authorRuano, M. Graça
dc.date.accessioned2015-04-13T14:53:14Z
dc.date.available2015-04-13T14:53:14Z
dc.date.issued2000-06-01
dc.description.abstractDoppler signal spectral estimation has been used to evaluate blood flow parameters in order to diagnose cardiovascular diseases. The modified covariance (MC) method has proved to provide accurate estimation of the two spectral parameters employed in clinical diagnosis, namely mean frequency and bandwidth. The aim of the work reported in this paper is to determine an efficient real-time implementation of the MC spectral estimator by investigating several architectures and implementation methods. A comparative performance analysis of the implementation of the MC algorithm on several homogeneous and heterogeneous architectures incorporating transputers, digital signal processing (DSP) devices and a vector processor is reported. The performances of these architectures are evaluated and compared in terms of computational time (execution and communication) and gradient measurements. Analysis of the results reveals that both the homogeneous and heterogeneous DSP-based parallel architectures meet the real-time requirements. (C) 2000 Elsevier Science B.V. All rights reserved.
dc.identifier.doihttp://dx.doi.org/10.1016/S0141-9331(00)00071-5
dc.identifier.issn0141-9331
dc.identifier.otherAUT: MRU00118;
dc.identifier.urihttp://hdl.handle.net/10400.1/5869
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.subjectDigital signal processing
dc.subjectDoppler signal spectral estimator
dc.subjectHeterogeneous architectures
dc.subjectHigh performance computing
dc.subjectHomogeneous architectures
dc.subjectReal-time signal processing
dc.subjectSequential processing
dc.subjectParallel processing
dc.subjectSpectral estimation
dc.titleReal-time implementation of a Doppler signal spectral estimator using sequential and parallel processing techniques
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage167
oaire.citation.issue3
oaire.citation.startPage153
oaire.citation.titleMicroprocessors and Microsystems
oaire.citation.volume24
person.familyNameRuano
person.givenNameMaria
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id7004483805
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery61fc8492-d73f-46ca-a3a3-4cd762a784e6

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