Algorithm-based fault-tolerant method for the 2-D LMS algorithm

Christopher D. Schmitz, W. Kenneth Jenkins

Research output: Contribution to journalConference articlepeer-review

Abstract

An algorithm-based fault tolerant method termed the fault tolerant least-mean-squares (FTLMS) algorithm is extended from 1-D to 2-D. The algorithm enables the LMS to correct for a particular type of weight update failure called a stuck-at fault. The key to the algorithm is an overcomplete set of vectors used to transform the input. In developing the 2-D version, the properties of performance-enhancing transforms are investigated, leading to a transform structure that gives the algorithm a more desirable convergence rate. Various transforms are evaluated according to their reduction in eigenvalue ratio (EVR) for stationary inputs.

Original languageEnglish (US)
Pages (from-to)V-301-V-304
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
StatePublished - Jan 1 1998
EventProceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS. Part 5 (of 6) - Monterey, CA, USA
Duration: May 31 1998Jun 3 1998

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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