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- W1537223860 abstract "This chapter presents several new PtNLMS algorithms that attempt to find an optimal gain such that a user-defined criterion is minimized. While each of these algorithms uses diverse assumptions and have diverse forms, the commonality between these new algorithms is the approach that was taken in their derivation. First, the authors assume white input and derive two PtNLMS algorithms that use gain allocation minimizing the MSE in the next iteration with respect to the current MSE. Next, again for white input, the authors derive a PtNLMS algorithm based on minimization of the MSE modeled by exponential functions. Then, colored input is assumed and a PtNLMS algorithm is derived by minimizing the MSWD. For this algorithm, the authors give a suboptimal implementation that reduces computational complexity. Controlled Vocabulary Terms computability; least mean squares methods" @default.
- W1537223860 created "2016-06-24" @default.
- W1537223860 creator A5037299270 @default.
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- W1537223860 date "2013-06-27" @default.
- W1537223860 modified "2023-10-18" @default.
- W1537223860 title "Algorithms Designed Based on Minimization of User-Defined Criteria" @default.
- W1537223860 doi "https://doi.org/10.1002/9781118579558.ch4" @default.
- W1537223860 hasPublicationYear "2013" @default.
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