Another stopping rule for linear iterative signal restoration

D. O. Walsh, M. W. Marcellin

Research output: Contribution to journalArticlepeer-review


A new stopping rule is proposed for linear, iterative signal restoration using the gradient descent and conjugate gradient algorithms. The stopping rule attempts to minimize MSE under the assumption that the signal arises from a white noise process. This assumption is appropriate for many coherent imaging applications. The stopping rule is trivial to compute and, for flxed relaxation parameters, can be computed prior to starting the iteration. The utility of the stopping rule is demonstrated through the restoration of MR imagery.

Original languageEnglish (US)
Pages (from-to)3156-3159
Number of pages4
JournalIEEE Transactions on Signal Processing
Issue number11
StatePublished - 1999


  • Conjugate gradient, gradient descent, restoration, stopping rule

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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