Gerson Barboza

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The proportionate normalized least mean-square algorithm (PNLMS) has been proposed with the objective of improving the adaptation convergence rate when modeling high-order sparse finite impulse response systems. Whereas fast initial adaptation convergence rate is obtained with the PNLMS algorithm for white-noise input, slow convergence is observed for(More)
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