Exact Equivalence of the Steiglitz-McBride Iteration and IQML

J. H. McClellan, D. Lee

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The exact equivalence of the Steiglitz-McBride mode-1 algorithm and the iterative quadratic maximum likelihood (IQML) algorithm is demonstrated. Other methods, published earlier by Kumaresan, Scharf, and Shaw, and by Evans and Fischl, are also known to give the same equations and answer as IQML. Hence, all these methods are equivalent to the Steiglitz-McBride iteration. Since the IQML method was originally formulated to solve a multiple measurement case, an extended version of the Steiglitz-McBride mode-1 algorithm, applicable to the multiple measurement case, is also stated and shown to be equivalent to the general form of IQML.

Original languageEnglish
Pages (from-to)509-512
Number of pages4
JournalIEEE Transactions on Signal Processing
Volume39
Issue number2
DOIs
StatePublished - Feb 1991

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