dc.contributor.author |
Protonotarios, E |
en |
dc.contributor.author |
Carayannis, G |
en |
dc.contributor.author |
Milios, E |
en |
dc.date.accessioned |
2014-03-01T02:47:33Z |
|
dc.date.available |
2014-03-01T02:47:33Z |
|
dc.date.issued |
1982 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33225 |
|
dc.subject |
Adaptive Algorithm |
en |
dc.subject |
Ar Model |
en |
dc.subject |
Impulse Response |
en |
dc.subject |
Linear Model |
en |
dc.subject |
Linear System |
en |
dc.subject |
Symmetric Matrix |
en |
dc.subject |
Theoretical Framework |
en |
dc.subject |
toeplitz matrices |
en |
dc.subject |
Left Hand Side |
en |
dc.title |
Near to Toeplitz structure and efficient schemes for linear modeling |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ICASSP.1982.1171888 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ICASSP.1982.1171888 |
en |
heal.publicationDate |
1982 |
en |
heal.abstract |
The purpose of this paper is to give reduced complexity algorithms in order to compute linear models in situations of non-stationnary signals. The case of impulse response identification is examined as well as the case of pure AR-modeling. Both problems lead to a linear system which must be solved to give the unknown AR-model or the unknown impulse response. Furthermore |
en |
heal.journalName |
International Conference on Acoustics, Speech, and Signal Processing |
en |
dc.identifier.doi |
10.1109/ICASSP.1982.1171888 |
en |