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|a 9783642302329
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|a Nielsen, Frank
|e [editor]
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| 245 |
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|a Matrix Information Geometry
|h Elektronische Ressource
|c edited by Frank Nielsen, Rajendra Bhatia
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|a 1st ed. 2013
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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| 300 |
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|a XII, 456 p
|b online resource
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| 505 |
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|a Book dedication -- Preface -- Part I: State-of-the-art surveys & original matrix theory work -- Part II: Advanced matrix theory for radar processing -- Part III: Matrix-based signal processing applications -- Index of terms
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| 653 |
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|a Geographical Information System
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Data mining
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| 653 |
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|a Mathematical Applications in Computer Science
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| 653 |
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|a Linear Algebra
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Geographic information systems
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| 653 |
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|a Algebras, Linear
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 653 |
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|a Signal processing
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| 700 |
1 |
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|a Bhatia, Rajendra
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 028 |
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|a 10.1007/978-3-642-30232-9
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| 856 |
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|u https://doi.org/10.1007/978-3-642-30232-9?nosfx=y
|x Verlag
|3 Volltext
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|a 621.382
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| 520 |
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|a This book is an outcome of the Indo-French Workshop on Matrix Information Geometries (MIG): Applications in Sensor and Cognitive Systems Engineering, which was held in Ecole Polytechnique and Thales Research and Technology Center, Palaiseau, France, in February 23-25, 2011. The workshop was generously funded by the Indo-French Centre for the Promotion of Advanced Research (IFCPAR). During the event, 22 renowned invited french or indian speakers gave lectures on their areas of expertise within the field of matrix analysis or processing. From these talks, a total of 17 original contribution or state-of-the-art chapters have been assembled in this volume. All articles were thoroughly peer-reviewed and improved, according to the suggestions of the international referees. The 17 contributions presented are organized in three parts: (1) State-of-the-art surveys & original matrix theory work, (2) Advanced matrix theory for radar processing, and (3) Matrix-based signal processing applications.
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