Nielsen / Bhatia Matrix Information Geometry

2013
ISBN: 978-3-642-30232-9
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 454 Seiten

This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering.
The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance Matrix, Sensors (Electromagnetic Fields, Acoustic sensors) and  Applications in Cognitive systems, in particular Data Mining.

Frank Nielsen is Senior Researcher at Sony Computer Science Laboratories Inc, Tokyo, Japan.
He is conducting research on information sciences for data analytics based on the framework of computational information geometry  with applications in visual computing.
He has authored more than hundred research papers and two books including 'Visual Computing: Geometry, Graphics, and Vision'.Rajendra Bhatia is Professor of Mathematics at the Indian Statistical Institute in New Delhi, India.
He is the author of five books including 'Matrix Analysis' and 'Positive Definite Matrices'..

Autoren/Hrsg.

Nielsen, Frank

Bhatia, Rajendra

Inhaltsverzeichnis

1;Matrix Information Geometry;3
2;Preface;6
3;Welcome to ‘‘Matrix Information Geometry’’;6
4;2 Group Photo (24th February 2011);7
5;3 Organization;7
6;4 Sponsors;8
7;Contents;10
8;Part I State-of-the-Art Surveys and OriginalMatrix Theory Work;12
9;Part II Advanced Matrix Theoryfor Radar Processing;174
10;Part III Matrix-Based SignalProcessing Applications;295
11;Index;451