Real-time implementation of a frequency-domain adaptive filter on a fixed-point signal processor

Michael E. Deisher, Andreas Spanias

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

5 Scopus citations

Abstract

The authors study some problems associated with the implementation of a frequency-domain adaptive algorithm on a fixed-point signal processor. In particular, they propose methods to improve the convergence speed and reduce the computational complexity of a constrained frequency-domain algorithm that uses a time-varying step size. In addition, they study the effects of finite word length and fixed-point arithmetic. Improvements are realized by adopting a novel data reusing scheme and by applying running and pruned FFTs (fast Fourier transforms). Results are given using synthetic data as well as data from noise cancellation experiments.

Original languageEnglish (US)
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherPubl by IEEE
Pages2013-2016
Number of pages4
ISBN (Print)078030033
StatePublished - Dec 1 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume3
ISSN (Print)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Deisher, M. E., & Spanias, A. (1991). Real-time implementation of a frequency-domain adaptive filter on a fixed-point signal processor. In Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2013-2016). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 3). Publ by IEEE.