This paper presents a fast convergence block adaptive filter in which the filter weights are adjusted based on the conjugate gradient method. The proposed algorithm permits the use of the fast convolution in accordance with the overlapsave method using the FFT, so that it can reduce the computational complexity to O(N log N + N) for N taps FIR filters. Some computer simulations show the faster convergence property of the proposed method than the conventional algorithms such as well-known LMS type techniques.
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Shigenori KINJYO, Hiroshi OCHI, Seiki KYAN, "A Fast Convergence FIR Adaptive Filter Based on the Conjugate Gradient Method" in IEICE TRANSACTIONS on Fundamentals,
vol. E74-A, no. 11, pp. 3534-3540, November 1991, doi: .
Abstract: This paper presents a fast convergence block adaptive filter in which the filter weights are adjusted based on the conjugate gradient method. The proposed algorithm permits the use of the fast convolution in accordance with the overlapsave method using the FFT, so that it can reduce the computational complexity to O(N log N + N) for N taps FIR filters. Some computer simulations show the faster convergence property of the proposed method than the conventional algorithms such as well-known LMS type techniques.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e74-a_11_3534/_p
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@ARTICLE{e74-a_11_3534,
author={Shigenori KINJYO, Hiroshi OCHI, Seiki KYAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Convergence FIR Adaptive Filter Based on the Conjugate Gradient Method},
year={1991},
volume={E74-A},
number={11},
pages={3534-3540},
abstract={This paper presents a fast convergence block adaptive filter in which the filter weights are adjusted based on the conjugate gradient method. The proposed algorithm permits the use of the fast convolution in accordance with the overlapsave method using the FFT, so that it can reduce the computational complexity to O(N log N + N) for N taps FIR filters. Some computer simulations show the faster convergence property of the proposed method than the conventional algorithms such as well-known LMS type techniques.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Fast Convergence FIR Adaptive Filter Based on the Conjugate Gradient Method
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3534
EP - 3540
AU - Shigenori KINJYO
AU - Hiroshi OCHI
AU - Seiki KYAN
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E74-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1991
AB - This paper presents a fast convergence block adaptive filter in which the filter weights are adjusted based on the conjugate gradient method. The proposed algorithm permits the use of the fast convolution in accordance with the overlapsave method using the FFT, so that it can reduce the computational complexity to O(N log N + N) for N taps FIR filters. Some computer simulations show the faster convergence property of the proposed method than the conventional algorithms such as well-known LMS type techniques.
ER -