IEICE TRANSACTIONS on Fundamentals
A New Structure of Frequency Domain Adaptive Filter with Composite Algorithm
Summary :
In this paper, we propose a new structure of the frequency domain adaptive filter (FDAF). The proposed structure is based on the modified DFT pair which consists of the FIR filters, so that un-delayed output signal can be obtained with stable convergence and without accumulated error which are problems for the conventional FDAFs. The convergence performance of the proposed FDAF is examined through the computer simulations in the adaptive line enhancer (ALE) comparing with the conventional FDAF and the DCT domain adaptive filter. Furthermore, in order to improve the error performance of the FDAF, we propose a composite algorithm which consists of the normalized step size algorithm for fast convergence and the variable step size one for small estimation error. The advantage of the proposed algorithm is also confirmed through simulations in the ALE. Finally, we propose a reduction method of the computational complexity of the proposed FDAF. The proposed method is to utilize a part of the FFT flow-graph, so that the computational complexity is reduced to O(N log N).
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E81-A No.4 pp.649-655
- Publication Date
- 1998/04/25
- Publicized
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- Type of Manuscript
- Category
- Digital Signal Processing
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Isao NAKANISHI, Yoshihisa HAMAHASHI, Yoshio ITOH, Yutaka FUKUI, "A New Structure of Frequency Domain Adaptive Filter with Composite Algorithm" in IEICE TRANSACTIONS on Fundamentals,
vol. E81-A, no. 4, pp. 649-655, April 1998, doi: .
Abstract: In this paper, we propose a new structure of the frequency domain adaptive filter (FDAF). The proposed structure is based on the modified DFT pair which consists of the FIR filters, so that un-delayed output signal can be obtained with stable convergence and without accumulated error which are problems for the conventional FDAFs. The convergence performance of the proposed FDAF is examined through the computer simulations in the adaptive line enhancer (ALE) comparing with the conventional FDAF and the DCT domain adaptive filter. Furthermore, in order to improve the error performance of the FDAF, we propose a composite algorithm which consists of the normalized step size algorithm for fast convergence and the variable step size one for small estimation error. The advantage of the proposed algorithm is also confirmed through simulations in the ALE. Finally, we propose a reduction method of the computational complexity of the proposed FDAF. The proposed method is to utilize a part of the FFT flow-graph, so that the computational complexity is reduced to O(N log N).
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e81-a_4_649/_p
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@ARTICLE{e81-a_4_649,
author={Isao NAKANISHI, Yoshihisa HAMAHASHI, Yoshio ITOH, Yutaka FUKUI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Structure of Frequency Domain Adaptive Filter with Composite Algorithm},
year={1998},
volume={E81-A},
number={4},
pages={649-655},
abstract={In this paper, we propose a new structure of the frequency domain adaptive filter (FDAF). The proposed structure is based on the modified DFT pair which consists of the FIR filters, so that un-delayed output signal can be obtained with stable convergence and without accumulated error which are problems for the conventional FDAFs. The convergence performance of the proposed FDAF is examined through the computer simulations in the adaptive line enhancer (ALE) comparing with the conventional FDAF and the DCT domain adaptive filter. Furthermore, in order to improve the error performance of the FDAF, we propose a composite algorithm which consists of the normalized step size algorithm for fast convergence and the variable step size one for small estimation error. The advantage of the proposed algorithm is also confirmed through simulations in the ALE. Finally, we propose a reduction method of the computational complexity of the proposed FDAF. The proposed method is to utilize a part of the FFT flow-graph, so that the computational complexity is reduced to O(N log N).},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - A New Structure of Frequency Domain Adaptive Filter with Composite Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 649
EP - 655
AU - Isao NAKANISHI
AU - Yoshihisa HAMAHASHI
AU - Yoshio ITOH
AU - Yutaka FUKUI
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E81-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 1998
AB - In this paper, we propose a new structure of the frequency domain adaptive filter (FDAF). The proposed structure is based on the modified DFT pair which consists of the FIR filters, so that un-delayed output signal can be obtained with stable convergence and without accumulated error which are problems for the conventional FDAFs. The convergence performance of the proposed FDAF is examined through the computer simulations in the adaptive line enhancer (ALE) comparing with the conventional FDAF and the DCT domain adaptive filter. Furthermore, in order to improve the error performance of the FDAF, we propose a composite algorithm which consists of the normalized step size algorithm for fast convergence and the variable step size one for small estimation error. The advantage of the proposed algorithm is also confirmed through simulations in the ALE. Finally, we propose a reduction method of the computational complexity of the proposed FDAF. The proposed method is to utilize a part of the FFT flow-graph, so that the computational complexity is reduced to O(N log N).
ER -
English
