dc.contributor.author |
Foudopoulos, P |
en |
dc.contributor.author |
Kollias, S |
en |
dc.contributor.author |
Halkias, C |
en |
dc.date.accessioned |
2014-03-01T01:09:43Z |
|
dc.date.available |
2014-03-01T01:09:43Z |
|
dc.date.issued |
1994 |
en |
dc.identifier.issn |
0005-1098 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/11152 |
|
dc.subject |
Kalman filters |
en |
dc.subject |
Optimal estimation |
en |
dc.subject |
Parallel processing |
en |
dc.subject |
Parameter estimation |
en |
dc.subject |
Signal detection |
en |
dc.subject.classification |
Automation & Control Systems |
en |
dc.subject.classification |
Engineering, Electrical & Electronic |
en |
dc.subject.other |
Computational complexity |
en |
dc.subject.other |
Kalman filtering |
en |
dc.subject.other |
Mathematical models |
en |
dc.subject.other |
Optimal systems |
en |
dc.subject.other |
Parallel processing systems |
en |
dc.subject.other |
Parameter estimation |
en |
dc.subject.other |
Signal detection |
en |
dc.subject.other |
Bernoulli Gaussian processes |
en |
dc.subject.other |
Minimum Variance Deconvolution Filter |
en |
dc.subject.other |
Optimal estimation |
en |
dc.subject.other |
Control system analysis |
en |
dc.title |
An efficient approach to the detection of Bernoulli-Gaussian processes |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/0005-1098(94)90194-5 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/0005-1098(94)90194-5 |
en |
heal.language |
English |
en |
heal.publicationDate |
1994 |
en |
heal.abstract |
An efficient technique for the detection of a Bernoulli-Gaussian process is proposed in this paper. A new property of the well-known Minimum Variance Deconvolution Filter is derived first, which can feed the detection procedure with reliable estimates of the input process. Based on this derivation, a detection procedure is built, which mainly uses simple detectors, reducing the contribution of more complex ones. The resulting detection procedure performs well and has a very low computational load. Examples are given, which illustrate the theoretical results. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Automatica |
en |
dc.identifier.doi |
10.1016/0005-1098(94)90194-5 |
en |
dc.identifier.isi |
ISI:A1994NQ74600007 |
en |
dc.identifier.volume |
30 |
en |
dc.identifier.issue |
6 |
en |
dc.identifier.spage |
1009 |
en |
dc.identifier.epage |
1013 |
en |