Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: Revaluation Books, Exeter, Regno Unito
EUR 63,53
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: preigu, Osnabrück, Germania
EUR 33,20
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Noise Cancellation in Images: Adaptive Filtering Approach | Satya Prakash Sahu (u. a.) | Taschenbuch | 76 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134906340 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 35,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book comprises the fundamental concept and case studies for the noise removal or cancellation through various methods of adaptive filters. Various noises such as Gaussian noise (GN), Salt and Pepper noise (SPN) and Speckle noise, (SN) associated with various noise levels are focussed. The methods for noise cancellation given in the books contain two major sections: Shifted version and Local mean estimation based method. These two methods have been presented based on two techniques such as least mean square (LMS) error and recursive least square (RLS) error. 76 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: moluna, Greven, Germania
EUR 31,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sahu Satya PrakashSatya Prakash Sahu, is Assistant Professor in the Department of Information Technology, National Institute of Technology Raipur, India. He has over 12 years of teaching and research experience and more than 20 publi.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Dez 2017, 2017
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 35,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book comprises the fundamental concept and case studies for the noise removal or cancellation through various methods of adaptive filters. Various noises such as Gaussian noise (GN), Salt and Pepper noise (SPN) and Speckle noise, (SN) associated with various noise levels are focussed. The methods for noise cancellation given in the books contain two major sections: Shifted version and Local mean estimation based method. These two methods have been presented based on two techniques such as least mean square (LMS) error and recursive least square (RLS) error.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6134906344 ISBN 13: 9786134906340
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 37,20
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book comprises the fundamental concept and case studies for the noise removal or cancellation through various methods of adaptive filters. Various noises such as Gaussian noise (GN), Salt and Pepper noise (SPN) and Speckle noise, (SN) associated with various noise levels are focussed. The methods for noise cancellation given in the books contain two major sections: Shifted version and Local mean estimation based method. These two methods have been presented based on two techniques such as least mean square (LMS) error and recursive least square (RLS) error.