Matrix Information Geometry

Buch | Hardcover
XII, 456 Seiten
2012 | 2013
Springer Berlin (Verlag)
978-3-642-30231-2 (ISBN)
160,49 inkl. MwSt
This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing, discussing theoretical mathematical approaches in the context of potential applications in sensor and cognitive systems engineering.
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"..

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

Erscheint lt. Verlag 4.8.2012
Zusatzinfo XII, 456 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 810 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Audio Signal Processing • Covariance matrix • Differential geometry of structured matrix • Fixed-Point SVD Algorithm • Geometrie • information geometry • Koszul-Vinberg cohomology • Matrix Data Mining • matrix theory • positive definite matrix • Radar Image Processing • Remote Sensing/Photogrammetry
ISBN-10 3-642-30231-9 / 3642302319
ISBN-13 978-3-642-30231-2 / 9783642302312
Zustand Neuware
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