Successive Cancellation Priority Decoding of Polar Codes

The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to r...
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Autor*in:	Di Guan [verfasserIn] Kai Niu [verfasserIn] Chao Dong [verfasserIn] Ping Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Polar code priority decoding successive cancellation decoding successive cancellation list

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 7(2019), Seite 9575-9585
Übergeordnetes Werk:	volume:7 ; year:2019 ; pages:9575-9585

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2019.2890838

Katalog-ID:	DOAJ049805045

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520			\|a The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder.
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allfields	10.1109/ACCESS.2019.2890838 doi (DE-627)DOAJ049805045 (DE-599)DOAJ0ce2a2a8989748fb8dbf48d0e3bfeb3c DE-627 ger DE-627 rakwb eng TK1-9971 Di Guan verfasserin aut Successive Cancellation Priority Decoding of Polar Codes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder. Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering Kai Niu verfasserin aut Chao Dong verfasserin aut Ping Zhang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 9575-9585 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:9575-9585 https://doi.org/10.1109/ACCESS.2019.2890838 kostenfrei https://doaj.org/article/0ce2a2a8989748fb8dbf48d0e3bfeb3c kostenfrei https://ieeexplore.ieee.org/document/8600315/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 9575-9585
spelling	10.1109/ACCESS.2019.2890838 doi (DE-627)DOAJ049805045 (DE-599)DOAJ0ce2a2a8989748fb8dbf48d0e3bfeb3c DE-627 ger DE-627 rakwb eng TK1-9971 Di Guan verfasserin aut Successive Cancellation Priority Decoding of Polar Codes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder. Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering Kai Niu verfasserin aut Chao Dong verfasserin aut Ping Zhang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 9575-9585 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:9575-9585 https://doi.org/10.1109/ACCESS.2019.2890838 kostenfrei https://doaj.org/article/0ce2a2a8989748fb8dbf48d0e3bfeb3c kostenfrei https://ieeexplore.ieee.org/document/8600315/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 9575-9585
allfields_unstemmed	10.1109/ACCESS.2019.2890838 doi (DE-627)DOAJ049805045 (DE-599)DOAJ0ce2a2a8989748fb8dbf48d0e3bfeb3c DE-627 ger DE-627 rakwb eng TK1-9971 Di Guan verfasserin aut Successive Cancellation Priority Decoding of Polar Codes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder. Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering Kai Niu verfasserin aut Chao Dong verfasserin aut Ping Zhang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 9575-9585 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:9575-9585 https://doi.org/10.1109/ACCESS.2019.2890838 kostenfrei https://doaj.org/article/0ce2a2a8989748fb8dbf48d0e3bfeb3c kostenfrei https://ieeexplore.ieee.org/document/8600315/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 9575-9585
allfieldsGer	10.1109/ACCESS.2019.2890838 doi (DE-627)DOAJ049805045 (DE-599)DOAJ0ce2a2a8989748fb8dbf48d0e3bfeb3c DE-627 ger DE-627 rakwb eng TK1-9971 Di Guan verfasserin aut Successive Cancellation Priority Decoding of Polar Codes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder. Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering Kai Niu verfasserin aut Chao Dong verfasserin aut Ping Zhang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 9575-9585 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:9575-9585 https://doi.org/10.1109/ACCESS.2019.2890838 kostenfrei https://doaj.org/article/0ce2a2a8989748fb8dbf48d0e3bfeb3c kostenfrei https://ieeexplore.ieee.org/document/8600315/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 9575-9585
allfieldsSound	10.1109/ACCESS.2019.2890838 doi (DE-627)DOAJ049805045 (DE-599)DOAJ0ce2a2a8989748fb8dbf48d0e3bfeb3c DE-627 ger DE-627 rakwb eng TK1-9971 Di Guan verfasserin aut Successive Cancellation Priority Decoding of Polar Codes 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder. Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering Kai Niu verfasserin aut Chao Dong verfasserin aut Ping Zhang verfasserin aut In IEEE Access IEEE, 2014 7(2019), Seite 9575-9585 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:7 year:2019 pages:9575-9585 https://doi.org/10.1109/ACCESS.2019.2890838 kostenfrei https://doaj.org/article/0ce2a2a8989748fb8dbf48d0e3bfeb3c kostenfrei https://ieeexplore.ieee.org/document/8600315/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2019 9575-9585
language	English
source	In IEEE Access 7(2019), Seite 9575-9585 volume:7 year:2019 pages:9575-9585
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topic_facet	Polar code priority decoding successive cancellation decoding successive cancellation list Electrical engineering. Electronics. Nuclear engineering
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container_title	IEEE Access
authorswithroles_txt_mv	Di Guan @@aut@@ Kai Niu @@aut@@ Chao Dong @@aut@@ Ping Zhang @@aut@@
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callnumber-first	T - Technology
author	Di Guan
spellingShingle	Di Guan misc TK1-9971 misc Polar code misc priority decoding misc successive cancellation decoding misc successive cancellation list misc Electrical engineering. Electronics. Nuclear engineering Successive Cancellation Priority Decoding of Polar Codes
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topic_title	TK1-9971 Successive Cancellation Priority Decoding of Polar Codes Polar code priority decoding successive cancellation decoding successive cancellation list
topic	misc TK1-9971 misc Polar code misc priority decoding misc successive cancellation decoding misc successive cancellation list misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Polar code misc priority decoding misc successive cancellation decoding misc successive cancellation list misc Electrical engineering. Electronics. Nuclear engineering
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title	Successive Cancellation Priority Decoding of Polar Codes
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title_full	Successive Cancellation Priority Decoding of Polar Codes
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title_auth	Successive Cancellation Priority Decoding of Polar Codes
abstract	The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder.
abstractGer	The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder.
abstract_unstemmed	The successive cancellation list (SCL) decoding of polar codes can achieve a performance close to that of maximum-likelihood decoding. Nevertheless, a large list size results in high-computational complexity. In this paper, a successive cancellation priority (SCP) decoding algorithm is proposed to reduce the time complexity. The SCP decoder performs a priority-first decoding, which is composed of a priority queue and a trellis. During the SCP decoding, the priority queue interacts with the trellis iteratively. Conceptually, the priority queue stores the priority information and guides the extension of the candidate path. The trellis calculates and stores the intermediate results. Since most of the unnecessary path extensions are avoided by using the priority queue, the time complexity of the SCP decoder is much lower than that of the standard SCL decoder. Then, a quantized priority queue is introduced to avoid the comparison operations in the path selection and to simplify the SCP decoder. Furthermore, we prove that the path extension of the SCP decoder is equivalent to the extension of the most reliable paths of the standard SCL decoder. Thus, the SCP decoder can achieve the same decoding performance as that of the standard SCL decoder.
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title_short	Successive Cancellation Priority Decoding of Polar Codes
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score	7.400196

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Successive Cancellation Priority Decoding of Polar Codes

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