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• W1548657002 abstract "The basic idea of this paper is related to the fact that the steady state property in a non-stationary system context is strongly related to the input correlation characteristics. When the LMS algorithm is used to identify a system with variations modeled by a random walk, the performance is degradated as the input correlation increases. The classical identification scheme can be improved by the use of a prewhitening adaptive filter. A theoretical analysis of an adaptive predictive identification scheme is presented. This study illustrates the contribution of predictive structures for tracking system non-stationarities." @default.
• W1548657002 created "2016-06-24" @default.
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• W1548657002 creator A5084116140 @default.
• W1548657002 date "2002-12-24" @default.
• W1548657002 modified "2023-10-18" @default.
• W1548657002 title "Symmetric adaptive predictive structure for tracking channel non-stationarities" @default.
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• W1548657002 doi "https://doi.org/10.1109/dspws.1996.555531" @default.
• W1548657002 hasPublicationYear "2002" @default.
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