Tracking Analysis of Adaptive Filters with Error and Matrix Data Nonlinearities
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概要
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We consider a unified approach to the tracking analysis of adaptive filters with error and matrix data nonlinearities. Using energy-conservation arguments, we not only derive earlier results in a unified manner, but we also obtain new performance results for more general adaptive algorithms without requiring the restriction of the regression data to a particular distribution. Numerical simulations support the theoretical results.
- The Institute of Electronics, Information and Communication Engineersの論文
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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YAMADA Isao
Department of Communications and Computer Engineering, Tokyo Institute of Technology
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