2015 23rd European Signal Processing Conference (EUSIPCO) 2015
DOI: 10.1109/eusipco.2015.7362876
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Adaptive linear prediction filters based on maximum a posteriori estimation

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“…Then, by using a weighted stochastic gradient, this knowledge is utilized in the adaption algorithm. In [34], regularization terms have been included as the probability distribution of the filter coefficients. The adaptive filter is designed using Gaussian distribution and applying a maximum a posteriori estimation.…”
Section: Introductionmentioning
confidence: 99%
“…Then, by using a weighted stochastic gradient, this knowledge is utilized in the adaption algorithm. In [34], regularization terms have been included as the probability distribution of the filter coefficients. The adaptive filter is designed using Gaussian distribution and applying a maximum a posteriori estimation.…”
Section: Introductionmentioning
confidence: 99%