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Multi-sensor data fusion : an introduction

Author: H B Mitchell
Publisher: Berlin ; New York : Springer Verlag, ©2007.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"This textbook provides an introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended. This book is illustrated with many applications and contains a list of modern references."--Jacket.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: H B Mitchell
ISBN: 9783540714637 3540714634
OCLC Number: 149010963
Description: xiv, 281 pages : illustrations ; 24 cm
Contents: Basics --
Introduction --
Sensors --
Architecture --
Representation --
Common representational format --
Spatial alignment --
Temporal alignment --
Sensor value normalization --
Data fusion --
Bayesian inference --
Parameter estimation --
Robust statistics --
Sequential Bayesian inference --
Bayesian decision theory --
Ensemble learning --
Sensor management.
Responsibility: H.B. Mitchell.
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Abstract:

Although conceptually simple, the study of multi-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. This textbook provides a  Read more...

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