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Improvement of the convergence speed and the tracking ability of the fast Newton type adaptive filtering (FNTF) algorithm

, , , , and . Signal Processing, 86 (7): 1704--1719 (July 2006)

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Low-order model for speech signals, , and . Signal Processing, 84 (10): 1805--1811 (October 2004)Improvement of the Simplified FTF-Type Algorithm., , , and . SIGMAP, page 156-161. INSTICC Press, (2008)Three new versions for the Newton type adaptive filtering algorithm., , , and . ISSPA (2), page 559-562. IEEE, (2003)0-7803-7946-2.Comparative study of new versions of the Newton type adaptive filtering algorithm., , , , and . ICASSP (2), page 677-680. IEEE, (2004)Interfacing in Microprocessor-based Systems with an Advanced Physical Addressing., , , and . IWSOC, page 243-246. IEEE Computer Society, (2004)Error propagation analysis of fast recursive least squares algorithms., , , , and . SIP, page 97-101. IASTED/ACTA Press, (2007)Robust parametric detection in non homogeneous clutter., , and . SAM, page 473-476. IEEE, (2014)Thresholding wavelet-based forward BSS algorithm for speech enhancement and complexity reduction., , and . ICNLSP, page 1-6. IEEE, (2018)Improvement of the convergence speed and the tracking ability of the fast Newton type adaptive filtering (FNTF) algorithm, , , , and . Signal Processing, 86 (7): 1704--1719 (July 2006)Room equalization based on iterative simple complex smoothing of acoustic impulse responses., , , and . ICECS, page 1-4. IEEE, (2005)