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- W4251738260 abstract "This conclusion chapter of Proportionate-type Normalized Least Mean Square Algorithms talks about the work presented in the book. It was shown that minimizing the mean square weight deviation minimizes an upper bound for the mean square error. Minimizing the mean square weight deviation resulted in gains that depended only on corresponding weight deviations. Transient analysis of PtNLMS algorithms is an open question when the input signal is colored. Also, an extension of white-input analysis to the segmented PNLMS and MPNLMS can be considered. Similarly, transient and steady-state analyses could be extended to the cPtNLMS algorithm. Finally, there is the possibility of finding more computationally efficient implementations of the algorithms presented. Controlled Vocabulary Terms computability; least mean squares methods" @default.
- W4251738260 created "2022-05-12" @default.
- W4251738260 date "2013-06-27" @default.
- W4251738260 modified "2023-10-18" @default.
- W4251738260 title "Conclusion" @default.
- W4251738260 doi "https://doi.org/10.1002/9781118579558.oth1" @default.
- W4251738260 hasPublicationYear "2013" @default.
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