Fault tolerant adaptive filters based on the block LMS algorithm

W. Kenneth Jenkins; Bernard A. Schnaufer

Fault tolerant adaptive filters based on the block LMS algorithm

W. Kenneth Jenkins, Bernard A. Schnaufer

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

Abstract

This paper proposes combining residue number system (RNS) arithmetic with a block LMS (BLMS) adaptive algorithm to provide fault tolerance in high speed VLSI adaptive filters. An RNS architecture with double modular redundancy provides an efficient high speed network structure that is well suited for VLSI implementation with fault protection. It is shown that the BLMS algorithm is compatible with an RNS implementation because most of the computation is easily done with integer arithmetic, while requiring the more complicated operation of scaling only one time for each block of input data. The combination of the BLMS adaptive algorithm and an RNS implementation with double modular redundancy provides an excellent hybrid design for VLSI adaptive filters that must perform reliably in real-time environments.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Publisher	Publ by IEEE
Pages	862-865
Number of pages	4
ISBN (Print)	0780312813
State	Published - 1993
Event	1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA Duration: May 3 1993 → May 6 1993

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	1
ISSN (Print)	0271-4310

Other

Other	1993 IEEE International Symposium on Circuits and Systems
City	Chicago, IL, USA
Period	5/3/93 → 5/6/93

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Cite this

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title = "Fault tolerant adaptive filters based on the block LMS algorithm",

abstract = "This paper proposes combining residue number system (RNS) arithmetic with a block LMS (BLMS) adaptive algorithm to provide fault tolerance in high speed VLSI adaptive filters. An RNS architecture with double modular redundancy provides an efficient high speed network structure that is well suited for VLSI implementation with fault protection. It is shown that the BLMS algorithm is compatible with an RNS implementation because most of the computation is easily done with integer arithmetic, while requiring the more complicated operation of scaling only one time for each block of input data. The combination of the BLMS adaptive algorithm and an RNS implementation with double modular redundancy provides an excellent hybrid design for VLSI adaptive filters that must perform reliably in real-time environments.",

author = "Jenkins, {W. Kenneth} and Schnaufer, {Bernard A.}",

year = "1993",

language = "English (US)",

isbn = "0780312813",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Publ by IEEE",

pages = "862--865",

booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",

note = "1993 IEEE International Symposium on Circuits and Systems ; Conference date: 03-05-1993 Through 06-05-1993",

}

Fault tolerant adaptive filters based on the block LMS algorithm. / Jenkins, W. Kenneth; Schnaufer, Bernard A.
Proceedings - IEEE International Symposium on Circuits and Systems. Publ by IEEE, 1993. p. 862-865 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 1).

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

TY - GEN

T1 - Fault tolerant adaptive filters based on the block LMS algorithm

AU - Jenkins, W. Kenneth

AU - Schnaufer, Bernard A.

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N2 - This paper proposes combining residue number system (RNS) arithmetic with a block LMS (BLMS) adaptive algorithm to provide fault tolerance in high speed VLSI adaptive filters. An RNS architecture with double modular redundancy provides an efficient high speed network structure that is well suited for VLSI implementation with fault protection. It is shown that the BLMS algorithm is compatible with an RNS implementation because most of the computation is easily done with integer arithmetic, while requiring the more complicated operation of scaling only one time for each block of input data. The combination of the BLMS adaptive algorithm and an RNS implementation with double modular redundancy provides an excellent hybrid design for VLSI adaptive filters that must perform reliably in real-time environments.

AB - This paper proposes combining residue number system (RNS) arithmetic with a block LMS (BLMS) adaptive algorithm to provide fault tolerance in high speed VLSI adaptive filters. An RNS architecture with double modular redundancy provides an efficient high speed network structure that is well suited for VLSI implementation with fault protection. It is shown that the BLMS algorithm is compatible with an RNS implementation because most of the computation is easily done with integer arithmetic, while requiring the more complicated operation of scaling only one time for each block of input data. The combination of the BLMS adaptive algorithm and an RNS implementation with double modular redundancy provides an excellent hybrid design for VLSI adaptive filters that must perform reliably in real-time environments.

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M3 - Conference contribution

AN - SCOPUS:0027277933

SN - 0780312813

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 862

EP - 865

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Publ by IEEE

T2 - 1993 IEEE International Symposium on Circuits and Systems

Y2 - 3 May 1993 through 6 May 1993

ER -

Fault tolerant adaptive filters based on the block LMS algorithm

Abstract

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All Science Journal Classification (ASJC) codes

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