Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Spatial filtering of cyclostationary interferences | Applied to phased array radio telescopes | Rym Feliachi | Taschenbuch | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659281235 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2012, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a contribution to observation improvements for phased array radio telescopes, in the presence of radio frequency interferers (RFIs). The originality of the study is the use of the cyclostationarity property, in order to improve the spatial separation between cosmic sources and telecommunication signals. This book is part of the European SKADS project, which aims to improve RFI mitigation techniques for future instruments in radio astronomy. We have proposed three spatial processing techniques: detection, estimation and subtraction and spatial filtering. The performance of the techniques presented have been evaluated through simulations on synthetic and/or real data, and compared to existing approaches. 136 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Feliachi RymRym Feliachi received an electronics engineer degree from Algiers Science and Technology University (USTHB) in 2005 and a Master of sciences degree in data processing from University of Versailles in 2006. She obtained he.
Language: English
Published by LAP LAMBERT Academic Publishing Okt 2012, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a contribution to observation improvements for phased array radio telescopes, in the presence of radio frequency interferers (RFIs). The originality of the study is the use of the cyclostationarity property, in order to improve the spatial separation between cosmic sources and telecommunication signals. This book is part of the European SKADS project, which aims to improve RFI mitigation techniques for future instruments in radio astronomy. We have proposed three spatial processing techniques: detection, estimation and subtraction and spatial filtering. The performance of the techniques presented have been evaluated through simulations on synthetic and/or real data, and compared to existing approaches.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659281239 ISBN 13: 9783659281235
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a contribution to observation improvements for phased array radio telescopes, in the presence of radio frequency interferers (RFIs). The originality of the study is the use of the cyclostationarity property, in order to improve the spatial separation between cosmic sources and telecommunication signals. This book is part of the European SKADS project, which aims to improve RFI mitigation techniques for future instruments in radio astronomy. We have proposed three spatial processing techniques: detection, estimation and subtraction and spatial filtering. The performance of the techniques presented have been evaluated through simulations on synthetic and/or real data, and compared to existing approaches.