Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities

  • WEE Wemer M.
    Department of Communications and Computer Engineering, Tokyo Institute of Technology
  • YAMADA Isao
    Department of Communications and Computer Engineering, Tokyo Institute of Technology

抄録

This paper presents a unified treatment of the tracking analysis of adaptive filters with data normalization and error nonlinearities. The approach we develop is based on the celebrated energy-conservation framework, which investigates the energy flow through each iteration of an adaptive filter. Aside from deriving earlier results in a unified manner, we obtain new performance results for more general filters without restricting the regression data to a particular distribution. Simulations show good agreement with the theoretical findings.

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