Fast two-dimensional adaptive IIR algorithms

Robert A. Soni, W. Kenneth Jenkins

    Research output: Contribution to journalConference articlepeer-review


    Several new two-dimensional adaptive infinite-impulse response (IIR) filtering algorithms are derived and simulated. These new algorithms are based upon the one-dimensional version of the algorithm developed by Fan and Jenkins [3]. This algorithm was shown to experimentally possess the ability to converge to the global minimum of the mean square error (MSE) even in cases where the mean square error (MSE) surface is ill-conditioned. In addition, further enhancements to this new algorithm were made to improve convergence rate performance. An estimate of the Hessian is incorporated into the adaptive filter coefficient update expressions. Least Mean Square (LMS), Recursive Least Square (RLS), Gauss-Newton (GN), and Fast Quasi-Newton (FQN) forms of the two-dimensional Fan-Jenkins algorithm are formulated and compared via simulation for several examples.

    Original languageEnglish (US)
    Pages (from-to)703-706
    Number of pages4
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    StatePublished - 1996
    EventProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, USA
    Duration: May 12 1996May 15 1996

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering


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