Magnitude and Delay Approximation of 1-D and 2-D Digital Filters

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There are more than 100 books on Circuit Analysis, Network Synthesis, Ana log and Digital Filters and Signal Processing written at the undergraduate and graduate level and a few more written as Reference and Handbooks. When and if they discuss the design of analog and digital filters, they treat mainly the approximation of the magnitude response of the filters and very little of their phase or group delay response. There is hardly any discussion of designing fil ters that simultaneously approximate the magnitude and group delay response of the filters. Thus most of the books routinely discuss Butterworth, Chebyshev and sometimes the Cauer or elliptic function response of the lowpass prototype filters, followed by the transformations to design highpass, bandpass and band stop filters-all of them approximating their magnitude response only. Due to the rapid progress from analog to digital communication and data transmission that has taken place in recent years, there is a greater need for designing filters that approximate both the magnitude and group delay requirements. So also is the need to design 2-dimensional digital filters,particularly those used in image processing, that approximate prescribed magnitude as well as constant group delay responses. A lot of research work has been published in professional jour nals on the design of these filters in the last 10-15 years.

It fills a gap within the literature, since there are no other approaches to filter design which simultaneoulsy take into account magnitude and phase of filter functions Includes supplementary material: sn.pub/extras

Autorentext
B. A. Shenoi is Professor, Department of Electrical Engineering, at the Wright State University. Dr. Shenoi is internationally recognized for his research in active and digital filter theory. He is a Life Fellow of the IEEE, a recipient of the Golden Jubilee Medal from the IEEE Circuits and Systems Society, and a recipient of the IEEE's Third Millennium Gold Medal.

Klappentext

There are more than 100 books on Circuit Analysis, Network Synthesis, Ana­ log and Digital Filters and Signal Processing written at the undergraduate and graduate level and a few more written as Reference and Handbooks. When and if they discuss the design of analog and digital filters, they treat mainly the approximation of the magnitude response of the filters and very little of their phase or group delay response. There is hardly any discussion of designing fil­ ters that simultaneously approximate the magnitude and group delay response of the filters. Thus most of the books routinely discuss Butterworth, Chebyshev and sometimes the Cauer or elliptic function response of the lowpass prototype filters, followed by the transformations to design highpass, bandpass and band­ stop filters-all of them approximating their magnitude response only. Due to the rapid progress from analog to digital communication and data transmission that has taken place in recent years, there is a greater need for designing filters that approximate both the magnitude and group delay requirements. So also is the need to design 2-dimensional digital filters,particularly those used in image processing, that approximate prescribed magnitude as well as constant group delay responses. A lot of research work has been published in professional jour­ nals on the design of these filters in the last 10-15 years.


Inhalt
1 Classical Methods of Approximation.- 2 Magnitude and Delay of I-D Filters.- 3 Magnitude of 2-D Filters.- 4 Magnitude and Delay of 2-D Filters.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642636523
    • Genre Elektrotechnik
    • Sprache Englisch
    • Lesemotiv Verstehen
    • Anzahl Seiten 268
    • Größe H235mm x B155mm x T15mm
    • Jahr 2013
    • EAN 9783642636523
    • Format Kartonierter Einband
    • ISBN 3642636527
    • Veröffentlichung 03.10.2013
    • Titel Magnitude and Delay Approximation of 1-D and 2-D Digital Filters
    • Autor Belle A. Shenoi
    • Untertitel Digital Signal Processing
    • Gewicht 411g
    • Herausgeber Springer Berlin Heidelberg

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