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Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology

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Computational Information Geometry - For Image and Signal Processing (Hardcover, 1st ed. 2017) Loot Price: R5,036
Discovery Miles 50 360
Computational Information Geometry - For Image and Signal Processing (Hardcover, 1st ed. 2017): Frank Nielsen, Frank Critchley,...

Computational Information Geometry - For Image and Signal Processing (Hardcover, 1st ed. 2017)

Frank Nielsen, Frank Critchley, Christopher T. J. Dodson

Series: Signals and Communication Technology

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Loot Price R5,036 Discovery Miles 50 360 | Repayment Terms: R472 pm x 12*

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This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and applies the theory to several applications. This area has developed rapidly over recent years, propelled by the major theoretical developments in information geometry, efficient data and image acquisition and the desire to process and interpret large databases of digital information. The book addresses both the transfer of methodology to practitioners involved in database analysis and in its efficient computational implementation.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Signals and Communication Technology
Release date: December 2016
First published: 2017
Editors: Frank Nielsen • Frank Critchley • Christopher T. J. Dodson
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 299
Edition: 1st ed. 2017
ISBN-13: 978-3-319-47056-6
Categories: Books > Reference & Interdisciplinary > Communication studies > Coding theory & cryptology
Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 3-319-47056-6
Barcode: 9783319470566

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