Applied multidimensional systems theory
by Bose, N. K.
"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 detaile…
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- Full title :Applied multidimensional systems theory / Nirmal K. Bose.
Summary
"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" -- OhioLink Library Catalog.
Read More ↓Edition Statements
- Publication Date:2017
- Edition:2nd ed
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham
- Language:eng
- Publication Date:2017
The Physical Object
- Description:1 online resource (1 recurs en línia (xiii, 192 pàgines) :) : il·lustracions
Edition Identifiers
- ISBN:9783319468259, 3319468251
- oclc:on1077226456
Table of Contents
Conté: 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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