Transform-Domain Adaptive Constrained Normalized-LMS Filtering Scheme for Time Delay Estimation
Summary :
The convergence speed of the conventional adaptive LMS algorithms for time delay estimation (TDE) is highly dependent on the spectral distribution of the desired random source signals of interest, thus the performance of TDE might be degraded, dramatically. To solve this problem, in this letter, a DCT-transform domain constrained adaptive normalized-LMS filtering scheme, referred to as the adaptive constrained DCT-LMS algorithm, is devised for TDE. Computer simulation results verify that the proposed scheme can be used to achieve desired performance, for input random signals with different spectral distributions; it outperforms the unconstrained DCT-LMS and time-domain constrained adaptive LMS algorithms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.8 pp.2230-2234
- Publication Date
- 2006/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.8.2230
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Keyword
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Chi-Hui HUANG, Shyh-Neng LIN, Shiunn-Jang CHERN, Jiun-Je JIAN, "Transform-Domain Adaptive Constrained Normalized-LMS Filtering Scheme for Time Delay Estimation" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 8, pp. 2230-2234, August 2006, doi: 10.1093/ietfec/e89-a.8.2230.
Abstract: The convergence speed of the conventional adaptive LMS algorithms for time delay estimation (TDE) is highly dependent on the spectral distribution of the desired random source signals of interest, thus the performance of TDE might be degraded, dramatically. To solve this problem, in this letter, a DCT-transform domain constrained adaptive normalized-LMS filtering scheme, referred to as the adaptive constrained DCT-LMS algorithm, is devised for TDE. Computer simulation results verify that the proposed scheme can be used to achieve desired performance, for input random signals with different spectral distributions; it outperforms the unconstrained DCT-LMS and time-domain constrained adaptive LMS algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.8.2230/_p
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@ARTICLE{e89-a_8_2230,
author={Chi-Hui HUANG, Shyh-Neng LIN, Shiunn-Jang CHERN, Jiun-Je JIAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Transform-Domain Adaptive Constrained Normalized-LMS Filtering Scheme for Time Delay Estimation},
year={2006},
volume={E89-A},
number={8},
pages={2230-2234},
abstract={The convergence speed of the conventional adaptive LMS algorithms for time delay estimation (TDE) is highly dependent on the spectral distribution of the desired random source signals of interest, thus the performance of TDE might be degraded, dramatically. To solve this problem, in this letter, a DCT-transform domain constrained adaptive normalized-LMS filtering scheme, referred to as the adaptive constrained DCT-LMS algorithm, is devised for TDE. Computer simulation results verify that the proposed scheme can be used to achieve desired performance, for input random signals with different spectral distributions; it outperforms the unconstrained DCT-LMS and time-domain constrained adaptive LMS algorithms.},
keywords={},
doi={10.1093/ietfec/e89-a.8.2230},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Transform-Domain Adaptive Constrained Normalized-LMS Filtering Scheme for Time Delay Estimation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2230
EP - 2234
AU - Chi-Hui HUANG
AU - Shyh-Neng LIN
AU - Shiunn-Jang CHERN
AU - Jiun-Je JIAN
PY - 2006
DO - 10.1093/ietfec/e89-a.8.2230
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2006
AB - The convergence speed of the conventional adaptive LMS algorithms for time delay estimation (TDE) is highly dependent on the spectral distribution of the desired random source signals of interest, thus the performance of TDE might be degraded, dramatically. To solve this problem, in this letter, a DCT-transform domain constrained adaptive normalized-LMS filtering scheme, referred to as the adaptive constrained DCT-LMS algorithm, is devised for TDE. Computer simulation results verify that the proposed scheme can be used to achieve desired performance, for input random signals with different spectral distributions; it outperforms the unconstrained DCT-LMS and time-domain constrained adaptive LMS algorithms.
ER -
English
