DocumentCode :
626573
Title :
Special properties of the modified DFT to achieve algorithmic fault tolerance in Adaptive Filters
Author :
Jenkins, W.K. ; Radhakrishnan, C. ; Sova, D.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear :
2013
fDate :
19-23 May 2013
Firstpage :
525
Lastpage :
528
Abstract :
Previously published results showed that when an FFT-based transform domain Fault Tolerant Adaptive Filter (FTAF) operates on real-valued signals, parameter redundancy inherent in the complex arithmetic provides fault tolerant capabilities. It was shown experimentally that the Modified Discrete Fourier Transform (MFFT) generates frequency domain samples that are not strictly real-valued or constrained to have conjugate symmetry in the transform domain. This paper provides a more detailed analysis of the fault tolerant capabilities of MFFT-FTAF architectures and further demonstrates how the MFFT-FTAF architecture is able to overcome certain fault conditions that cannot be properly handled in a conventional FFT-based FTAF architecture.
Keywords :
adaptive filters; discrete Fourier transforms; fault tolerance; frequency-domain analysis; DFT; FFT-based transform domain fault tolerant adaptive filter; MFFT-FTAF architecture; adaptive filters; algorithmic fault tolerance; complex arithmetic; frequency domain; modified Discrete fourier transform; parameter redundancy; real-valued signals; transform domain; Adaptive filters; Discrete Fourier transforms; Fault tolerance; Fault tolerant systems; Frequency-domain analysis; Speech; Modified DFT adaptive filters; adaptive fault tolerance; fault tolerant digital filters; transform domain adaptive filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
ISSN :
0271-4302
Print_ISBN :
978-1-4673-5760-9
Type :
conf
DOI :
10.1109/ISCAS.2013.6571896
Filename :
6571896
Link To Document :
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