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.
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.
€149.79
विषयसूची
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
लेखक के बारे में
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’..
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भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 456 ● ISBN 9783642302329 ● फाइल का आकार 10.1 MB ● संपादक Frank Nielsen & Rajendra Bhatia ● प्रकाशक Springer Berlin ● शहर Heidelberg ● देश DE ● प्रकाशित 2012 ● डाउनलोड करने योग्य 24 महीने ● मुद्रा EUR ● आईडी 2663581 ● कॉपी सुरक्षा सामाजिक DRM
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