9786134906340 - noise cancellation in images: adaptive filtering approach di sahu, satya prakash; verma, shrish (6 risultati)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,60
EUR 11,73 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,25
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. 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 | An…bieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. 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 nois…e, (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.
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Da: moluna, Greven, Germaniamoluna
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EUR 31,27
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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 e…xperience and more than 20 publi.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. 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.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,20
EUR 60,66 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. 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, (S…N) 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.
