Verlag: LAP Lambert Academic Publishing, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 66,60
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 8.66x5.91x0.20 inches. In Stock.
Verlag: LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -In today¿s world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Compressive Sensing for Image Reconstruction | Using Matched Wavelet | Chandra Mohan Reddy Sivappagari | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139955398 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Verlag: LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis. 68 pp. Englisch.
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
EUR 34,25
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sivappagari Chandra Mohan ReddyDr. Chandra Mohan Reddy Sivappagari is working as an Associate Professor in the Department of Electronics and Communication Engineering, JNTUA College of Engineering (Autonomous), Pulivendula, A.P., Ind.
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139955394 ISBN 13: 9786139955398
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's world, size of images is increasingly large and N generally approaches to millions of samples. This large size imaging poses challenges for CS-based image reconstruction. First challenge is the huge size of measurement matrix that poses problems with storage and computation. Other problems include design of imaging system with larger space bandwidth product (SBP) and difficult calibration requirements. In an attempt to overcome the above challenges, single pixel camera hardware architecture has been proposed. It replaces the traditional camera architecture and captures the inner product between the scene under view and measurement basis.