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Applied multidimensional systems theory

Bose, Nirmal K.

Applied multidimensional systems theory

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied multidimensional systems theoryby Nirmal K. Bose.
作者:	Bose, Nirmal K.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xiii, 192 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	System theory.
電子資源:	http://dx.doi.org/10.1007/978-3-319-46825-9
ISBN:	9783319468259$q(electronic bk.)

Applied multidimensional systems theory
Bose, Nirmal K.

Applied multidimensional systems theory[electronic resource] /by Nirmal K. Bose. - 2nd ed. - Cham :Springer International Publishing :2017. - xiii, 192 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319468259$q(electronic bk.)

Standard No.: 10.1007/978-3-319-46825-9doiSubjects--Topical Terms:

183989
System theory.

LC Class. No.: Q295

Dewey Class. No.: 003

Applied multidimensional systems theory
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520 $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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