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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Mïż½ller 2010-08-10, 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Taschenbuch. Condition: Neu. Implementation of Particle Filters | Algorithms and Hardware Architectures | Miodrag Bolic | Taschenbuch | Kartoniert / Broschiert | Englisch | 2010 | VDM Verlag Dr. Müller | EAN 9783639031676 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Müller, 2010
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Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Müller, 2008
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Published by VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2010
ISBN 10: 3639031679 ISBN 13: 9783639031676
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Particle filters outperform most of the traditional filtering methods, such as Kalman filters, offering excellent performance in very difficult problems including communications, signal processing, navigation, and computer vision. Hence, particle filters have been the focus of wide research recently and immense literature can be found on their theory. Most of these works recognize the complexity and computational intensity of particle filters, but there has been little effort directed toward real-time implementation of these filters. The objective of this monograph is to develop and design efficient hardware for particle filters, and thereby bring them closer to practical applications. To achieve this objective, algorithmic transformations that lead to improved scalability of design and reduced hardware resources have been performed. Architectures for particle filters have been proposed and implemented on an FPGA platform. The issues tackled include reduction of computational complexity, improvement of scalability of parallel implementation and reduction of memory requirements.