£107.43

Springer B00LS31KQG

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Description

Matrix Information Geometry by Springer provides a comprehensive look at advances in matrix and tensor data processing. This text is designed for professionals and researchers working in the domains of signal, image, and information processing. By exploring theoretical mathematical approaches, the book connects complex concepts to practical applications in sensor and cognitive systems engineering. Readers will find detailed discussions on Information Geometry and the Differential Geometry of structured Matrix. The content covers essential mathematical foundations, including Positive Definite Matrix and Covariance Matrix theories. These concepts are applied to real-world technologies such as electromagnetic field sensors and acoustic sensors. This book is a valuable resource for those focused on cognitive systems and data mining. It bridges the gap between advanced mathematical theory and technical application in modern data management and engineering environments.

Key Features

Covers advanced matrix and tensor data processing for signal, image, and information processing fields.

Explores theoretical mathematical approaches applicable to sensor and cognitive systems engineering.

Includes detailed sections on Information Geometry and Differential Geometry of structured Matrix.

Provides technical insights into Positive Definite Matrix and Covariance Matrix applications.

Discusses sensor technology including Electromagnetic Fields and Acoustic sensors.

Addresses practical applications in cognitive systems with a focus on Data Mining.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
20 September 2014
Listed Since
23 September 2014

Barcode

No barcode data available

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