Computationally efficient 2-D adaptive filters based on essentially separable FIR structures

Y. Jiajing, N. Yardi, W. K. Jenkins

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

2 Scopus citations

Abstract

Adaptive filters are used successfully in sonar, radar, communications, seismology and biomedical engineering applications [1]. This paper presents a theory of how computational complexity of 2-D adaptive FIR filters can be reduced by using essentially separable 2-D FIR filter structures. Results illustrate that essentially separable filters are more computationally efficient than conventional 2-D adaptive filters. The trade-off is the error introduced by approximating the 2-D filter as a parallel bank of separable sub-filters. Experimental results show that the coefficients of a 2-D non-separable filter are more accurately identified as the number of separable sections increases in the essentially separable structure.

Original languageEnglish (US)
Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509009169
DOIs
StatePublished - Jul 2 2016
Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: Oct 16 2016Oct 19 2016

Publication series

NameMidwest Symposium on Circuits and Systems
Volume0
ISSN (Print)1548-3746

Other

Other59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
CountryUnited Arab Emirates
CityAbu Dhabi
Period10/16/1610/19/16

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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