Fault tolerant adaptive filters based on number theoretic transforms

C. Radhakrishnan; W. K. Jenkins

doi:10.1109/ACSSC.2008.5074404

Fault tolerant adaptive filters based on number theoretic transforms

C. Radhakrishnan, W. K. Jenkins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

Previously it was shown that FFT-based transform domain adaptive filters operating on real-valued signals can achieve adaptive fault tolerant performance based on parameter redundancy inherent in the complex arithmetic. In this paper the Fermat Number Transform (FNT) is combined with transform domain block processing as an alternate way of achieving computationally efficient fault tolerance. It is shown that a hybrid combination of Fermat transform domain block processing and polynomial ring theory provides computationally efficient fault tolerance for adaptive filters implemented in highly scaled nano-technology circuits.

Original language	English (US)
Title of host publication	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages	261-265
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2008.5074404
State	Published - 2008
Event	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States Duration: Oct 26 2008 → Oct 29 2008

Other

Other	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country	United States
City	Pacific Grove, CA
Period	10/26/08 → 10/29/08

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/ACSSC.2008.5074404

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title = "Fault tolerant adaptive filters based on number theoretic transforms",

abstract = "Previously it was shown that FFT-based transform domain adaptive filters operating on real-valued signals can achieve adaptive fault tolerant performance based on parameter redundancy inherent in the complex arithmetic. In this paper the Fermat Number Transform (FNT) is combined with transform domain block processing as an alternate way of achieving computationally efficient fault tolerance. It is shown that a hybrid combination of Fermat transform domain block processing and polynomial ring theory provides computationally efficient fault tolerance for adaptive filters implemented in highly scaled nano-technology circuits.",

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Radhakrishnan, C & Jenkins, WK 2008, Fault tolerant adaptive filters based on number theoretic transforms. in 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008., 5074404, pp. 261-265, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 10/26/08. https://doi.org/10.1109/ACSSC.2008.5074404

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AB - Previously it was shown that FFT-based transform domain adaptive filters operating on real-valued signals can achieve adaptive fault tolerant performance based on parameter redundancy inherent in the complex arithmetic. In this paper the Fermat Number Transform (FNT) is combined with transform domain block processing as an alternate way of achieving computationally efficient fault tolerance. It is shown that a hybrid combination of Fermat transform domain block processing and polynomial ring theory provides computationally efficient fault tolerance for adaptive filters implemented in highly scaled nano-technology circuits.

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