dc.contributor.author |
Kollias, Stefanos |
en |
dc.contributor.author |
Halkias, Christos |
en |
dc.date.accessioned |
2014-03-01T02:47:36Z |
|
dc.date.available |
2014-03-01T02:47:36Z |
|
dc.date.issued |
1985 |
en |
dc.identifier.issn |
02714310 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33277 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0022307081&partnerID=40&md5=99c9fe32be3cb5bf1c2caea36735d693 |
en |
dc.subject.other |
COMPUTER PROGRAMMING - Algorithms |
en |
dc.subject.other |
SEISMOLOGY |
en |
dc.subject.other |
SIGNAL PROCESSING - Digital Techniques |
en |
dc.subject.other |
AUTOREGRESSIVE MOVING-AVERAGE PROCESSES |
en |
dc.subject.other |
DECONVOLUTION |
en |
dc.subject.other |
INSTRUMENTAL VARIABLES METHOD |
en |
dc.subject.other |
RECURSIVE IDENTIFICATION |
en |
dc.subject.other |
SEISMIC SIGNALS |
en |
dc.subject.other |
SYSTEMS SCIENCE AND CYBERNETICS |
en |
dc.title |
ASYMPTOTIC PROPERTIES OF A NEW RECURSIVE IDENTIFICATION METHOD USING DECONVOLUTION. |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
1985 |
en |
heal.abstract |
The authors examine the performance of a new recursive identification and deconvolution approach in the case of an ARMA model of a system, whose input is white unmeasurable stationary noise. This approach, which is especially useful in seismic signal deconvolution, is based on an algorithm using the instrumental variables method, combined with an online version of minimum variance deconvolution. The asymptotic properties of each of these two methods are examined in detail and various conclusions are derived. The performance of the method is evaluated in terms of the signal-to-noise ratio and the pole-zero locations or the frequency bandwidth of the impulse response of the system. Examples illustrate the theoretical results. |
en |
heal.publisher |
IEEE, New York, NY, USA |
en |
heal.journalName |
Proceedings - IEEE International Symposium on Circuits and Systems |
en |
dc.identifier.spage |
419 |
en |
dc.identifier.epage |
422 |
en |