@inproceedings{752520277c694c0ab9ba8b348bdf97ba,
title = "Fault tolerant transform domain adaptive noise canceling from corrupted speech signals",
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.",
author = "D. Sova and C. Radhakrishnan and Jenkins, \{W. K.\} and Salvia, \{A. D.\}",
year = "2012",
doi = "10.1109/MWSCAS.2012.6292163",
language = "English (US)",
isbn = "9781467325264",
series = "Midwest Symposium on Circuits and Systems",
pages = "888--891",
booktitle = "2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012",
note = "2012 IEEE 55th International Midwest Symposium on Circuits and Systems, MWSCAS 2012 ; Conference date: 05-08-2012 Through 08-08-2012",
}