Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities
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概要
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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.
著者
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Yamada Isao
Departmen Of Communications And Integrated Systems Tokyo Institute Of Technology
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WEE Wemer
Department of Communications and Computer Engineering, Tokyo Institute of Technology
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