Fault tolerant transform domain adaptive noise canceling from corrupted speech signals

D. Sova, C. Radhakrishnan, William Kenneth Jenkins, David Salvia

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

1 Scopus citations

Abstract

Fault Tolerant Adaptive Filters (FTAFs) rely on inherent learning capabilities of the adaptive process to compensate for transient (soft) or permanent (hard) errors in hardware implementations. This paper investigates fault tolerant transform domain adaptive noise canceling filters to cancel noise from corrupted speech signals. Two transform domain adaptive FIR architectures are compared, one based on the conventional FFT and one on the Modified Discrete Fourier Transform (MDFT), both without zero padding. Results support the fact that the MDFT- based FTAF architecture is able to overcome certain fault conditions that cannot be properly handled with a conventional FFT-based FTAF architecture.

Original languageEnglish (US)
Title of host publication2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
Pages888-891
Number of pages4
DOIs
StatePublished - Oct 16 2012
Event2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012 - Boise, ID, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

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

Other

Other2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012
CountryUnited States
CityBoise, ID
Period8/5/128/8/12

All Science Journal Classification (ASJC) codes

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

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