Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation

K. J. Kim, J. H. Kim, S. W. Nam

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

1 Scopus citations

Abstract

In this paper, a new method of designing 2-D linear-phase narrowband FIR filters is proposed by extending the conventional method of designing computationally efficient sharp linear-phase FIR filters, whereby the McClellan transformation and sampling kernels are utilized. In particulr, by applying the McClellan transformation to the sampling kernels and 1-D prototype model filters, we can design various types of 2-D narrow-band FIR filters (e.g., circular, elliptic, and diamond-shaped) with sharp transition. Design examples are included to demonstrate the effectiveness of the proposed design approach.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages1387-1390
Number of pages4
StatePublished - 2010 Dec 1
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: 2010 Oct 272010 Oct 30

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
CountryKorea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

Keywords

  • 2-D FIR filter
  • McClellan transformation
  • Sampling kernel

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    Kim, K. J., Kim, J. H., & Nam, S. W. (2010). Design of computationally efficient 2-D narrow-band FIR filters using sampling kernels and McClellan transformation. In ICCAS 2010 - International Conference on Control, Automation and Systems (pp. 1387-1390). [5670317] (ICCAS 2010 - International Conference on Control, Automation and Systems).