Adaptive time delay estimation based on the maximum correntropy criterion
In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE meth...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jin, Fangxiao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Modelling SARS-CoV-2 transmission in a UK university setting - Hill, Edward M. ELSEVIER, 2021, a review journal, Orlando, Fla |
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| Übergeordnetes Werk: |
volume:88 ; year:2019 ; pages:23-32 ; extent:10 |
| Links: |
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| DOI / URN: |
10.1016/j.dsp.2019.01.014 |
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| 520 | |a In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. | ||
| 520 | |a In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. | ||
| 650 | 7 | |a Maximum correntropy criterion (MCC) |2 Elsevier | |
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| 650 | 7 | |a Time delay estimation (TDE) |2 Elsevier | |
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10.1016/j.dsp.2019.01.014 doi GBV00000000000553.pica (DE-627)ELV046132864 (ELSEVIER)S1051-2004(18)30456-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.75 bkl Jin, Fangxiao verfasserin aut Adaptive time delay estimation based on the maximum correntropy criterion 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. Maximum correntropy criterion (MCC) Elsevier Impulsive noise Elsevier Time delay estimation (TDE) Elsevier Amplitude attenuation Elsevier Qiu, Tianshuang oth Enthalten in Academic Press Hill, Edward M. ELSEVIER Modelling SARS-CoV-2 transmission in a UK university setting 2021 a review journal Orlando, Fla (DE-627)ELV006540295 volume:88 year:2019 pages:23-32 extent:10 https://doi.org/10.1016/j.dsp.2019.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.75 Infektionskrankheiten parasitäre Krankheiten Medizin VZ AR 88 2019 23-32 10 |
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10.1016/j.dsp.2019.01.014 doi GBV00000000000553.pica (DE-627)ELV046132864 (ELSEVIER)S1051-2004(18)30456-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.75 bkl Jin, Fangxiao verfasserin aut Adaptive time delay estimation based on the maximum correntropy criterion 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. Maximum correntropy criterion (MCC) Elsevier Impulsive noise Elsevier Time delay estimation (TDE) Elsevier Amplitude attenuation Elsevier Qiu, Tianshuang oth Enthalten in Academic Press Hill, Edward M. ELSEVIER Modelling SARS-CoV-2 transmission in a UK university setting 2021 a review journal Orlando, Fla (DE-627)ELV006540295 volume:88 year:2019 pages:23-32 extent:10 https://doi.org/10.1016/j.dsp.2019.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.75 Infektionskrankheiten parasitäre Krankheiten Medizin VZ AR 88 2019 23-32 10 |
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10.1016/j.dsp.2019.01.014 doi GBV00000000000553.pica (DE-627)ELV046132864 (ELSEVIER)S1051-2004(18)30456-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.75 bkl Jin, Fangxiao verfasserin aut Adaptive time delay estimation based on the maximum correntropy criterion 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. Maximum correntropy criterion (MCC) Elsevier Impulsive noise Elsevier Time delay estimation (TDE) Elsevier Amplitude attenuation Elsevier Qiu, Tianshuang oth Enthalten in Academic Press Hill, Edward M. ELSEVIER Modelling SARS-CoV-2 transmission in a UK university setting 2021 a review journal Orlando, Fla (DE-627)ELV006540295 volume:88 year:2019 pages:23-32 extent:10 https://doi.org/10.1016/j.dsp.2019.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.75 Infektionskrankheiten parasitäre Krankheiten Medizin VZ AR 88 2019 23-32 10 |
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10.1016/j.dsp.2019.01.014 doi GBV00000000000553.pica (DE-627)ELV046132864 (ELSEVIER)S1051-2004(18)30456-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.75 bkl Jin, Fangxiao verfasserin aut Adaptive time delay estimation based on the maximum correntropy criterion 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. Maximum correntropy criterion (MCC) Elsevier Impulsive noise Elsevier Time delay estimation (TDE) Elsevier Amplitude attenuation Elsevier Qiu, Tianshuang oth Enthalten in Academic Press Hill, Edward M. ELSEVIER Modelling SARS-CoV-2 transmission in a UK university setting 2021 a review journal Orlando, Fla (DE-627)ELV006540295 volume:88 year:2019 pages:23-32 extent:10 https://doi.org/10.1016/j.dsp.2019.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.75 Infektionskrankheiten parasitäre Krankheiten Medizin VZ AR 88 2019 23-32 10 |
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10.1016/j.dsp.2019.01.014 doi GBV00000000000553.pica (DE-627)ELV046132864 (ELSEVIER)S1051-2004(18)30456-1 DE-627 ger DE-627 rakwb eng 610 VZ 44.75 bkl Jin, Fangxiao verfasserin aut Adaptive time delay estimation based on the maximum correntropy criterion 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. Maximum correntropy criterion (MCC) Elsevier Impulsive noise Elsevier Time delay estimation (TDE) Elsevier Amplitude attenuation Elsevier Qiu, Tianshuang oth Enthalten in Academic Press Hill, Edward M. ELSEVIER Modelling SARS-CoV-2 transmission in a UK university setting 2021 a review journal Orlando, Fla (DE-627)ELV006540295 volume:88 year:2019 pages:23-32 extent:10 https://doi.org/10.1016/j.dsp.2019.01.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.75 Infektionskrankheiten parasitäre Krankheiten Medizin VZ AR 88 2019 23-32 10 |
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Elektronische Aufsätze |
| author-letter |
Jin, Fangxiao |
| doi_str_mv |
10.1016/j.dsp.2019.01.014 |
| dewey-full |
610 |
| title_sort |
adaptive time delay estimation based on the maximum correntropy criterion |
| title_auth |
Adaptive time delay estimation based on the maximum correntropy criterion |
| abstract |
In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. |
| abstractGer |
In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. |
| abstract_unstemmed |
In this paper, a novel adaptive time delay estimation (TDE) method under the existence of amplitude attenuation is proposed for the impulsive noise environment. We present a closed form of the recursive solution for the TDE by using the maximum correntropy criterion (MCC). First, a two-step TDE method, which has the advantage of simplicity, is proposed. In this approach, the coefficients in the noncausal finite impulse response (FIR) filter are employed to model the time delay. Furthermore, to improve the robustness of the proposed two-step algorithm, a closed form of the recursive solution for the direct TDE is proposed, which does not have any free parameter, as in the two-step algorithm in gradient-based techniques. Finally, the convergence property regarding the direct TDE algorithm is performed. |
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| title_short |
Adaptive time delay estimation based on the maximum correntropy criterion |
| url |
https://doi.org/10.1016/j.dsp.2019.01.014 |
| remote_bool |
true |
| author2 |
Qiu, Tianshuang |
| author2Str |
Qiu, Tianshuang |
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| doi_str |
10.1016/j.dsp.2019.01.014 |
| up_date |
2024-07-06T19:24:41.647Z |
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