IEICE TRANSACTIONS on Fundamentals
Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling
Summary :
A method for evaluating the degradation of subband adaptive digital filters (ADF) is presented. The performance of a simple ADF that uses critical sampling is mainly influenced by the subband filter bank's characteristics and the finite precision arithmetic operations used. This paper considers a two-channel mirror filter bank and a normalized least mean square algorithm with floating point arithmetic. The theoretical ERLE (Echo Return Loss Enhancement) and the theoretical relationships between the output error of the ADF and the circuit parameters considering finite precision A/D conversion and finite word length effects in floating point arithmetic operation are obtained using an equivalent noise model. Simulation results are found to be in good agreement to analytical values; the difference is only 3 to 5 dB.
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- IEICE TRANSACTIONS on Fundamentals Vol.E77-A No.9 pp.1497-1501
- Publication Date
- 1994/09/25
- Publicized
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- Type of Manuscript
- Special Section LETTER (Special Section of Papers Selected from the 8th Digital Signal Processing Symposium)
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Hiroshi YASUKAWA, "Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling" in IEICE TRANSACTIONS on Fundamentals,
vol. E77-A, no. 9, pp. 1497-1501, September 1994, doi: .
Abstract: A method for evaluating the degradation of subband adaptive digital filters (ADF) is presented. The performance of a simple ADF that uses critical sampling is mainly influenced by the subband filter bank's characteristics and the finite precision arithmetic operations used. This paper considers a two-channel mirror filter bank and a normalized least mean square algorithm with floating point arithmetic. The theoretical ERLE (Echo Return Loss Enhancement) and the theoretical relationships between the output error of the ADF and the circuit parameters considering finite precision A/D conversion and finite word length effects in floating point arithmetic operation are obtained using an equivalent noise model. Simulation results are found to be in good agreement to analytical values; the difference is only 3 to 5 dB.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e77-a_9_1497/_p
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@ARTICLE{e77-a_9_1497,
author={Hiroshi YASUKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling},
year={1994},
volume={E77-A},
number={9},
pages={1497-1501},
abstract={A method for evaluating the degradation of subband adaptive digital filters (ADF) is presented. The performance of a simple ADF that uses critical sampling is mainly influenced by the subband filter bank's characteristics and the finite precision arithmetic operations used. This paper considers a two-channel mirror filter bank and a normalized least mean square algorithm with floating point arithmetic. The theoretical ERLE (Echo Return Loss Enhancement) and the theoretical relationships between the output error of the ADF and the circuit parameters considering finite precision A/D conversion and finite word length effects in floating point arithmetic operation are obtained using an equivalent noise model. Simulation results are found to be in good agreement to analytical values; the difference is only 3 to 5 dB.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Performance Degradation of a Subband Adaptive Digital Filter with Critical Sampling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1497
EP - 1501
AU - Hiroshi YASUKAWA
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E77-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1994
AB - A method for evaluating the degradation of subband adaptive digital filters (ADF) is presented. The performance of a simple ADF that uses critical sampling is mainly influenced by the subband filter bank's characteristics and the finite precision arithmetic operations used. This paper considers a two-channel mirror filter bank and a normalized least mean square algorithm with floating point arithmetic. The theoretical ERLE (Echo Return Loss Enhancement) and the theoretical relationships between the output error of the ADF and the circuit parameters considering finite precision A/D conversion and finite word length effects in floating point arithmetic operation are obtained using an equivalent noise model. Simulation results are found to be in good agreement to analytical values; the difference is only 3 to 5 dB.
ER -
English
