This letter propose a fast frequency domain adaptive filter algorithm (FADF) for applications in which large order adaptive filters are required. Proposed FADF algorithm reduces the block delay of conventional FADF algorithms allowing a more efficient selection of the fast Fourier Transform (FFT) size. Proposed FADF algorithm also provides faster convergence rates than conventional FBAF algorithms by using a near-optimum convergence factor derived by using the FFT. Computer simulations using white and colored signals are given to show the desirable features of proposed scheme.
Hector PEREZ-MEANA
Mariko NAKANO-MIYATAKE
Laura ORTIZ-BALBUENA
Alejandro MARTINEZ-GONZALEZ
Juan Carlos SANCHEZ-GARCIA
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Hector PEREZ-MEANA, Mariko NAKANO-MIYATAKE, Laura ORTIZ-BALBUENA, Alejandro MARTINEZ-GONZALEZ, Juan Carlos SANCHEZ-GARCIA, "A Fast Block-Type Adaptive Filter Algorithm with Short Processing Delay" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 5, pp. 721-726, May 1996, doi: .
Abstract: This letter propose a fast frequency domain adaptive filter algorithm (FADF) for applications in which large order adaptive filters are required. Proposed FADF algorithm reduces the block delay of conventional FADF algorithms allowing a more efficient selection of the fast Fourier Transform (FFT) size. Proposed FADF algorithm also provides faster convergence rates than conventional FBAF algorithms by using a near-optimum convergence factor derived by using the FFT. Computer simulations using white and colored signals are given to show the desirable features of proposed scheme.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e79-a_5_721/_p
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@ARTICLE{e79-a_5_721,
author={Hector PEREZ-MEANA, Mariko NAKANO-MIYATAKE, Laura ORTIZ-BALBUENA, Alejandro MARTINEZ-GONZALEZ, Juan Carlos SANCHEZ-GARCIA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Block-Type Adaptive Filter Algorithm with Short Processing Delay},
year={1996},
volume={E79-A},
number={5},
pages={721-726},
abstract={This letter propose a fast frequency domain adaptive filter algorithm (FADF) for applications in which large order adaptive filters are required. Proposed FADF algorithm reduces the block delay of conventional FADF algorithms allowing a more efficient selection of the fast Fourier Transform (FFT) size. Proposed FADF algorithm also provides faster convergence rates than conventional FBAF algorithms by using a near-optimum convergence factor derived by using the FFT. Computer simulations using white and colored signals are given to show the desirable features of proposed scheme.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - A Fast Block-Type Adaptive Filter Algorithm with Short Processing Delay
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 721
EP - 726
AU - Hector PEREZ-MEANA
AU - Mariko NAKANO-MIYATAKE
AU - Laura ORTIZ-BALBUENA
AU - Alejandro MARTINEZ-GONZALEZ
AU - Juan Carlos SANCHEZ-GARCIA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 1996
AB - This letter propose a fast frequency domain adaptive filter algorithm (FADF) for applications in which large order adaptive filters are required. Proposed FADF algorithm reduces the block delay of conventional FADF algorithms allowing a more efficient selection of the fast Fourier Transform (FFT) size. Proposed FADF algorithm also provides faster convergence rates than conventional FBAF algorithms by using a near-optimum convergence factor derived by using the FFT. Computer simulations using white and colored signals are given to show the desirable features of proposed scheme.
ER -