Simple variable tap‐length algorithm for high‐noise environment
In the variable tap‐length algorithm, fast‐convergence rate and small steady‐state fluctuation of the tap‐length are two important criteria to evaluate performance of the algorithm. Furthermore, the simplicity and robustness to the noise are the key points for the algorithm to be applied in practise...
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| Format: | Article |
| Language: | English |
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Wiley
2017-03-01
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| Series: | Electronics Letters |
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| Online Access: | https://doi.org/10.1049/el.2016.2940 |
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| _version_ | 1832096663290773504 |
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| author | Ying Wei Zhibin Yan |
| author_facet | Ying Wei Zhibin Yan |
| author_sort | Ying Wei |
| collection | DOAJ |
| description | In the variable tap‐length algorithm, fast‐convergence rate and small steady‐state fluctuation of the tap‐length are two important criteria to evaluate performance of the algorithm. Furthermore, the simplicity and robustness to the noise are the key points for the algorithm to be applied in practise. Along this line, a very simple variable tap‐length algorithm is processed where the adaptation rule for fractional tap‐length is modified by incorporating strategy of limiting the amplitude of difference between squared output error and squared segmented error. Only at a slight cost of computational complexity, the proposed algorithm can achieve both small steady‐state fluctuation and fast‐convergence rate of the tap‐length under a high stochastic Gaussian noise condition (signal‐to‐noise ratio = 0 dB) or a deterministic impulsive noise condition. |
| format | Article |
| id | doaj-art-4f548893906044f4a6cebe47c2b23aa7 |
| institution | Kabale University |
| issn | 0013-5194 1350-911X |
| language | English |
| publishDate | 2017-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj-art-4f548893906044f4a6cebe47c2b23aa72025-02-05T12:30:43ZengWileyElectronics Letters0013-51941350-911X2017-03-0153532032210.1049/el.2016.2940Simple variable tap‐length algorithm for high‐noise environmentYing Wei0Zhibin Yan1Center for Mathematics and Interdisciplinary SciencesHarbin Institute of TechnologyHarbin150001People's Republic of ChinaCenter for Mathematics and Interdisciplinary SciencesHarbin Institute of TechnologyHarbin150001People's Republic of ChinaIn the variable tap‐length algorithm, fast‐convergence rate and small steady‐state fluctuation of the tap‐length are two important criteria to evaluate performance of the algorithm. Furthermore, the simplicity and robustness to the noise are the key points for the algorithm to be applied in practise. Along this line, a very simple variable tap‐length algorithm is processed where the adaptation rule for fractional tap‐length is modified by incorporating strategy of limiting the amplitude of difference between squared output error and squared segmented error. Only at a slight cost of computational complexity, the proposed algorithm can achieve both small steady‐state fluctuation and fast‐convergence rate of the tap‐length under a high stochastic Gaussian noise condition (signal‐to‐noise ratio = 0 dB) or a deterministic impulsive noise condition.https://doi.org/10.1049/el.2016.2940simple variable tap‐length algorithmhigh‐noise environmentfast‐convergence ratesmall steady‐state fluctuationadaptation rulefractional tap‐length |
| spellingShingle | Ying Wei Zhibin Yan Simple variable tap‐length algorithm for high‐noise environment Electronics Letters simple variable tap‐length algorithm high‐noise environment fast‐convergence rate small steady‐state fluctuation adaptation rule fractional tap‐length |
| title | Simple variable tap‐length algorithm for high‐noise environment |
| title_full | Simple variable tap‐length algorithm for high‐noise environment |
| title_fullStr | Simple variable tap‐length algorithm for high‐noise environment |
| title_full_unstemmed | Simple variable tap‐length algorithm for high‐noise environment |
| title_short | Simple variable tap‐length algorithm for high‐noise environment |
| title_sort | simple variable tap length algorithm for high noise environment |
| topic | simple variable tap‐length algorithm high‐noise environment fast‐convergence rate small steady‐state fluctuation adaptation rule fractional tap‐length |
| url | https://doi.org/10.1049/el.2016.2940 |
| work_keys_str_mv | AT yingwei simplevariabletaplengthalgorithmforhighnoiseenvironment AT zhibinyan simplevariabletaplengthalgorithmforhighnoiseenvironment |