On transient error surfaces of output error IIR adaptive filtering

TitleOn transient error surfaces of output error IIR adaptive filtering
Publication TypeJournal Article
Year of Publication1998
AuthorsMayyas, K., and T. Aboulnasr
JournalSignal Processing, IEEE Transactions on
Pagination766 -771
Date Publishedmar.
Keywordsadaptive filters, convergence, convergence of numerical methods, error analysis, global optimum, IIR filters, IIR output error adaptive algorithms, least mean squares methods, least squares approximations, LMS-based algorithms, local optimum, LS-based algorithms, output error IIR adaptive filtering, transient error surfaces

Addresses the convergence of IIR output error adaptive algorithms. We argue that convergence to global or local optimum is simultaneously determined by the shape of the transient error surface and the convergence speed of the algorithm. This argument is confirmed by simulation examples comparing the convergence of LMS-based and LS-based algorithms


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