000 | 03778nam a22004815i 4500 | ||
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001 | 978-1-4939-0588-1 | ||
003 | DE-He213 | ||
005 | 20200421112221.0 | ||
007 | cr nn 008mamaa | ||
008 | 140321s2014 xxu| s |||| 0|eng d | ||
020 |
_a9781493905881 _9978-1-4939-0588-1 |
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024 | 7 |
_a10.1007/978-1-4939-0588-1 _2doi |
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050 | 4 | _aTK5105.5-5105.9 | |
072 | 7 |
_aUKN _2bicssc |
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072 | 7 |
_aCOM075000 _2bisacsh |
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082 | 0 | 4 |
_a004.6 _223 |
100 | 1 |
_aGuang, Xuan. _eauthor. |
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245 | 1 | 0 |
_aLinear Network Error Correction Coding _h[electronic resource] / _cby Xuan Guang, Zhen Zhang. |
264 | 1 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2014. |
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300 |
_aVI, 107 p. 9 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
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505 | 0 | _aIntroduction -- Network Error Correction Model -- Another Description of Linear Network Error Correction Model -- Coding Bounds of Linear Network Error Correction Codes -- Random Linear Network Error Correction Coding -- Subspace Codes. | |
520 | _aThere are two main approaches in the theory of network error correction coding. In this SpringerBrief, the authors summarize some of the most important contributions following the classic approach, which represents messages by sequences similar to algebraic coding, and also briefly discuss the main results following the other approach, that uses the theory of rank metric codes for network error correction of representing messages by subspaces. This book starts by establishing the basic linear network error correction (LNEC) model and then characterizes two equivalent descriptions. Distances and weights are defined in order to characterize the discrepancy of these two vectors and to measure the seriousness of errors. Similar to classical error-correcting codes, the authors also apply the minimum distance decoding principle to LNEC codes at each sink node, but use distinct distances. For this decoding principle, it is shown that the minimum distance of a LNEC code at each sink node can fully characterize its error-detecting, error-correcting and erasure-error-correcting capabilities with respect to the sink node. In addition, some important and useful coding bounds in classical coding theory are generalized to linear network error correction coding, including the Hamming bound, the Gilbert-Varshamov bound and the Singleton bound. Several constructive algorithms of LNEC codes are presented, particularly for LNEC MDS codes, along with an analysis of their performance. Random linear network error correction coding is feasible for noncoherent networks with errors. Its performance is investigated by estimating upper bounds on some failure probabilities by analyzing the information transmission and error correction. Finally, the basic theory of subspace codes is introduced including the encoding and decoding principle as well as the channel model, the bounds on subspace codes, code construction and decoding algorithms. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer communication systems. | |
650 | 0 | _aCoding theory. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aCoding and Information Theory. |
700 | 1 |
_aZhang, Zhen. _eauthor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781493905874 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4939-0588-1 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c57412 _d57412 |