Publication
High performance parallel-DSP computing in model-based spectral estimation
| dc.contributor.author | Gonzalez, J. S. | |
| dc.contributor.author | Nocetti, D. F. G. | |
| dc.contributor.author | Ruano, M. Graça | |
| dc.date.accessioned | 2015-04-13T14:53:14Z | |
| dc.date.available | 2015-04-13T14:53:14Z | |
| dc.date.issued | 1999-11-29 | |
| dc.description.abstract | Doppler blood flow spectral estimation is a technique for non-invasive cardiovascular disease detection. Blood flow velocity and disturbance may be determined by measuring the spectral mean frequency and bandwidth, respectively. The work presented here, evaluates a high performance parallel-Doppler Signal Processing architecture (SHARC) for the computation of a parametric model-based spectral estimation method known as the modified covariance algorithm. The model-based method incorporates improvement in frequency resolution when compared with Fast Fourier Transform (FFT)-based methods. However, the computational complexity and the need for real-time response of the algorithm, makes necessary the use of high performance processing in order to fulfil such demands. Sequential and parallel implementations of the algorithm are introduced, A performance analysis of the implementations is also presented, demonstrating the effectiveness of the algorithm and the feasibility for real-time response of the system. The results open a greater scope for utilising this architecture in implementing new and more complex methods. The results are applied to the development of a real-time spectrum analyser for pulsed Doppler blood flow instrumentation. (C) 1999 Elsevier Science B.V. All rights reserved. | |
| dc.identifier.doi | http://dx.doi.org/10.1016/S0141-9331(99)00041-1 | |
| dc.identifier.issn | 0141-9331 | |
| dc.identifier.other | AUT: MRU00118; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/5871 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.subject | High performance computing | |
| dc.subject | Parallel processing | |
| dc.subject | Signal processing | |
| dc.subject | Spectral estimation | |
| dc.subject | Doppler ultrasound | |
| dc.subject.other | Selection | |
| dc.title | High performance parallel-DSP computing in model-based spectral estimation | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 344 | |
| oaire.citation.issue | 6 | |
| oaire.citation.startPage | 337 | |
| oaire.citation.title | Microprocessors and microsystems | |
| oaire.citation.volume | 23 | |
| person.familyName | Ruano | |
| person.givenName | Maria | |
| person.identifier.ciencia-id | 9811-A0DD-D5A5 | |
| person.identifier.orcid | 0000-0002-0014-9257 | |
| person.identifier.rid | A-8321-2011 | |
| person.identifier.scopus-author-id | 7004483805 | |
| rcaap.rights | restrictedAccess | |
| rcaap.type | article | |
| relation.isAuthorOfPublication | 61fc8492-d73f-46ca-a3a3-4cd762a784e6 | |
| relation.isAuthorOfPublication.latestForDiscovery | 61fc8492-d73f-46ca-a3a3-4cd762a784e6 |
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