dc.contributor.author |
Barlas, G |
en |
dc.contributor.author |
Frangakis, G |
en |
dc.contributor.author |
Skordalakis, E |
en |
dc.date.accessioned |
2014-03-01T01:41:39Z |
|
dc.date.available |
2014-03-01T01:41:39Z |
|
dc.date.issued |
1993 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/23555 |
|
dc.subject |
Compression Ratio |
en |
dc.subject |
Data Compression |
en |
dc.subject |
Text Compression |
en |
dc.title |
Dictionary based coding for ECG data compression |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/CIC.1993.378420 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/CIC.1993.378420 |
en |
heal.publicationDate |
1993 |
en |
heal.abstract |
ECG data compression is usually performed in two steps: (a) modelling of the signal and (b) coding of the data that result from the model in (a). A dictionary based coding scheme is proposed that can efficiently handle the arbitrary valued data that result from the modelling phase. The majority of the compression schemes described in the literature employ Huffman |
en |
heal.journalName |
Engineering Analysis With Boundary Elements |
en |
dc.identifier.doi |
10.1109/CIC.1993.378420 |
en |