Multirate Repeating Method for Alias Free Subband Adaptive Filters

Kiyoshi NISHIKAWA; Hitoshi KIYA

Multirate Repeating Method for Alias Free Subband Adaptive Filters

Kiyoshi NISHIKAWA, Hitoshi KIYA

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In this paper, we propose the multirate repeating method for alias free subband adaptive filters (AFSAFs) and consider its convergence property. It is shown that we can adjust the convergence speed and the final error of the adaptive filters by varying its two parameters according to the requirements of the applications where the method is applied. The proposed method has two parameters, namely, the number of channel and the number of repetition. We show that by increasing the number of channels we can reduce the final error, and this property is preferred when the signal-to-noise ratio (SNR) is low. On the other hand, we show that the convergence speed of the AFSAF approaches to that of the affine projection algorithm (APA) by increasing the number of repetition. Through the computer simulations, we show the effect of the proposed method.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.4 pp.776-783

Publication Date: 2002/04/01

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Type of Manuscript: Special Section PAPER (Special Section of Selected Papers from the 14th Workshop on Circuits and Systems in Karuizawa)

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Kiyoshi NISHIKAWA, Hitoshi KIYA, "Multirate Repeating Method for Alias Free Subband Adaptive Filters" in IEICE TRANSACTIONS on Fundamentals, vol. E85-A, no. 4, pp. 776-783, April 2002, doi: .
Abstract: In this paper, we propose the multirate repeating method for alias free subband adaptive filters (AFSAFs) and consider its convergence property. It is shown that we can adjust the convergence speed and the final error of the adaptive filters by varying its two parameters according to the requirements of the applications where the method is applied. The proposed method has two parameters, namely, the number of channel and the number of repetition. We show that by increasing the number of channels we can reduce the final error, and this property is preferred when the signal-to-noise ratio (SNR) is low. On the other hand, we show that the convergence speed of the AFSAF approaches to that of the affine projection algorithm (APA) by increasing the number of repetition. Through the computer simulations, we show the effect of the proposed method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_4_776/_p

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@ARTICLE{e85-a_4_776,
author={Kiyoshi NISHIKAWA, Hitoshi KIYA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multirate Repeating Method for Alias Free Subband Adaptive Filters},
year={2002},
volume={E85-A},
number={4},
pages={776-783},
abstract={In this paper, we propose the multirate repeating method for alias free subband adaptive filters (AFSAFs) and consider its convergence property. It is shown that we can adjust the convergence speed and the final error of the adaptive filters by varying its two parameters according to the requirements of the applications where the method is applied. The proposed method has two parameters, namely, the number of channel and the number of repetition. We show that by increasing the number of channels we can reduce the final error, and this property is preferred when the signal-to-noise ratio (SNR) is low. On the other hand, we show that the convergence speed of the AFSAF approaches to that of the affine projection algorithm (APA) by increasing the number of repetition. Through the computer simulations, we show the effect of the proposed method.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - Multirate Repeating Method for Alias Free Subband Adaptive Filters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 776
EP - 783
AU - Kiyoshi NISHIKAWA
AU - Hitoshi KIYA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2002
AB - In this paper, we propose the multirate repeating method for alias free subband adaptive filters (AFSAFs) and consider its convergence property. It is shown that we can adjust the convergence speed and the final error of the adaptive filters by varying its two parameters according to the requirements of the applications where the method is applied. The proposed method has two parameters, namely, the number of channel and the number of repetition. We show that by increasing the number of channels we can reduce the final error, and this property is preferred when the signal-to-noise ratio (SNR) is low. On the other hand, we show that the convergence speed of the AFSAF approaches to that of the affine projection algorithm (APA) by increasing the number of repetition. Through the computer simulations, we show the effect of the proposed method.
ER -