Applied multidimensional systems theory

Applied multidimensional systems theory

by Bose, N. K., (Nirmal K.)

Type Book
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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…

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Title Statements

  • 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.

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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 (xiii, 192 pages) : : illustrations

Edition Identifiers

  • ISBN:9783319468259, 3319468251, 3319468243, 9783319468242
  • DOI:10.1007/978-3-319-46825-9
  • oclc:ocn970682303
  • LC Classification:TK7882.S65
  • Dewey Decimal:003

Table of Contents

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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