000 03348nam a22005055i 4500
001 978-3-031-01680-6
003 DE-He213
005 20240730164546.0
007 cr nn 008mamaa
008 220601s2014 sz | s |||| 0|eng d
020 _a9783031016806
_9978-3-031-01680-6
024 7 _a10.1007/978-3-031-01680-6
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aGibson, Jerry.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985149
245 1 0 _aInformation Theory and Rate Distortion Theory for Communications and Compression
_h[electronic resource] /
_cby Jerry Gibson.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXII, 115 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Communications,
_x1932-1708
505 0 _aPreface -- Communications, Compression and Fundamental Limits -- Entropy and Mutual Information -- Lossless Source Coding -- Channel Capacity -- Rate Distortion Theory and Lossy Source Coding -- Bibliography -- Author's Biography.
520 _aThis book is very specifically targeted to problems in communications and compression by providing the fundamental principles and results in information theory and rate distortion theory for these applications and presenting methods that have proved and will prove useful in analyzing and designing real systems. The chapters contain treatments of entropy, mutual information, lossless source coding, channel capacity, and rate distortion theory; however, it is the selection, ordering, and presentation of the topics within these broad categories that is unique to this concise book. While the coverage of some standard topics is shortened or eliminated, the standard, but important, topics of the chain rules for entropy and mutual information, relative entropy, the data processing inequality, and the Markov chain condition receive a full treatment. Similarly, lossless source coding techniques presented include the Lempel-Ziv-Welch coding method. The material on rate Distortion theory and exploring fundamental limits on lossy source coding covers the often-neglected Shannon lower bound and the Shannon backward channel condition, rate distortion theory for sources with memory, and the extremely practical topic of rate distortion functions for composite sources.
650 0 _aEngineering.
_99405
650 0 _aElectrical engineering.
_985152
650 0 _aTelecommunication.
_910437
650 1 4 _aTechnology and Engineering.
_985153
650 2 4 _aElectrical and Electronic Engineering.
_985155
650 2 4 _aCommunications Engineering, Networks.
_931570
710 2 _aSpringerLink (Online service)
_985158
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031005527
776 0 8 _iPrinted edition:
_z9783031028083
830 0 _aSynthesis Lectures on Communications,
_x1932-1708
_985160
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01680-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c85775
_d85775