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02729nam a22005055i 4500 |
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|a 9783319468259
|9 978-3-319-46825-9
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|a 10.1007/978-3-319-46825-9
|2 doi
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|d GrThAP
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|a 621.382
|2 23
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|a Bose, Nirmal K.
|e author.
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|a Applied Multidimensional Systems Theory
|h [electronic resource] /
|c by Nirmal K. Bose.
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|a 2nd ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIII, 192 p. 16 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Multivariate Polynomial Fundamentals for Multidimensional Systems -- Multivariate Polynomial Positivity (Nonnegativity) Tests -- Multidimensional Sampling -- Multidimensional Digital Filter Recursibility and Stability -- 2-D Fir Filters, Linear Prediction adn 2-D IIR Filters -- Wavelets and Filter Banks.
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|a Revised and updated, this concise new edition of the pioneering book on multidimensional signal processing is ideal for a new generation of students. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with applications in biomedicine, X-ray technology and satellite communications. Serving as a firm basis for graduate engineering students and researchers seeking applications in mathematical theories, this edition eschews detailed mathematical theory not useful to students. Presentation of the theory has been revised to make it more readable for students, and introduce some new topics that are emerging as multidimensional DSP topics in the interdisciplinary fields of image processing. New topics include Groebner bases, wavelets, and filter banks.
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|a Engineering.
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|a Image processing.
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|a System theory.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a Image Processing and Computer Vision.
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|a Systems Theory, Control.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319468242
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|u http://dx.doi.org/10.1007/978-3-319-46825-9
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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