dc.contributor.author |
Papakonstantinou, G |
en |
dc.contributor.author |
Tsanakas, P |
en |
dc.contributor.author |
Manis, G |
en |
dc.date.accessioned |
2014-03-01T01:10:05Z |
|
dc.date.available |
2014-03-01T01:10:05Z |
|
dc.date.issued |
1994 |
en |
dc.identifier.issn |
0165-1684 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/11306 |
|
dc.subject |
ECG waveforms |
en |
dc.subject |
Parallel processing |
en |
dc.subject |
Piecewise linear approximation |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.other |
Approximation theory |
en |
dc.subject.other |
Computer architecture |
en |
dc.subject.other |
Computer programming languages |
en |
dc.subject.other |
Parallel processing systems |
en |
dc.subject.other |
Piecewise linear techniques |
en |
dc.subject.other |
Waveform analysis |
en |
dc.subject.other |
Digitised curve |
en |
dc.subject.other |
Distributed memory parallel architecture |
en |
dc.subject.other |
Parallel algorithms |
en |
dc.subject.other |
Parallel processing |
en |
dc.subject.other |
Piecewise linear approximation |
en |
dc.subject.other |
QCCAM language |
en |
dc.subject.other |
Algorithms |
en |
dc.title |
Parallel approaches to piecewise linear approximation |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/0165-1684(94)90009-4 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/0165-1684(94)90009-4 |
en |
heal.language |
English |
en |
heal.publicationDate |
1994 |
en |
heal.abstract |
Two parallel algorithms have been developed for the piecewise linear approximation (PLA) of digitised curves. The first one is a new general purpose PLA algorithm, based on certain improvements of a serial algorithm. The second one is a peak preserving PLA algorithm particularly suited for the ECG waveform approximation. Both algorithms have been fully implemented, tested and evaluated on a distributed memory parallel architecture, using the OCCAM language. The derived results for both algorithms are encouraging, since they lead to optimal curve approximations, and they are amenable to real-time PLA applications. © 1994. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Signal Processing |
en |
dc.identifier.doi |
10.1016/0165-1684(94)90009-4 |
en |
dc.identifier.isi |
ISI:A1994NR64400009 |
en |
dc.identifier.volume |
37 |
en |
dc.identifier.issue |
3 |
en |
dc.identifier.spage |
415 |
en |
dc.identifier.epage |
423 |
en |