Design of complex multi-dimensional FIR filters by transformation

Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper extends the transformation method by developing two new efficient procedures for the design of complex and real, positive- and negative-symmetric, multidimensional filters by transforming even-length 1-D prototype filters with complex (or real) coefficients. The first procedure is used to design complex multi-dimensional filters with a rectangular region of support having odd-length sides, while the second procedure is used for filters with a rectangular region of support having even-length sides. The designed filters can be implemented efficiently using special Chebyshev structures. Design examples are presented to illustrate the performance of the design procedures.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages573-575
Number of pages3
Volume1
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Design of complex multi-dimensional FIR filters by transformation'. Together they form a unique fingerprint.

  • Cite this

    Karam, L. (1996). Design of complex multi-dimensional FIR filters by transformation. In Anon (Ed.), IEEE International Conference on Image Processing (Vol. 1, pp. 573-575). IEEE.