Persistent Link:
http://hdl.handle.net/10150/607000
Title:
Linear and Non-Linear Digital Processing
Author:
Ranieri, G. C.; Uhran, J. J., Jr.
Affiliation:
University of Notre Dame
Issue Date:
1971-09
Rights:
Copyright © International Foundation for Telemetering
Collection Information:
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
Three basic discrete estimators, each of increasing complexity, are presented for extracting a random signal sequence from one which has been distorted by an additive white noise sequence. Closed form solutions are obtained by minimizing the mean square error, convergence properties are indicated and comparisons made. Several examples are given to indicate what typically can be expected in each case.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleLinear and Non-Linear Digital Processingen_US
dc.contributor.authorRanieri, G. C.en
dc.contributor.authorUhran, J. J., Jr.en
dc.contributor.departmentUniversity of Notre Dameen
dc.date.issued1971-09en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractThree basic discrete estimators, each of increasing complexity, are presented for extracting a random signal sequence from one which has been distorted by an additive white noise sequence. Closed form solutions are obtained by minimizing the mean square error, convergence properties are indicated and comparisons made. Several examples are given to indicate what typically can be expected in each case.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/607000en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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