Entropie und Quellencodierung.- Einführung.- Information, Entropie und Redundanz.- Codierung für diskrete gedächtnislose Quellen.- Entropie von Verbundquellen.- Stationäre diskrete Quellen mit Gedächtnis.- Markov-Quellen.- Datenkompression.- Diskrete gedächtnislose Kanäle und Transinformation.- Kontinuierliche Quellen und Kanäle.- Übungsaufgaben zu Teil I: Entropie und Quellencodierung.- Codierung zum Schutz Gegen Übertragungsfehler.- Einführung.- Paritätscodes.- Lineare Blockcodes.- Zyklische Codes.- Faltungscodes.- Viterbi-Entzerrer.

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Informationstheorie und Codierung verstehen

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Prof. Dr.-Ing. Martin Werner lehrt Nachrichtentechnik am Fachbereich Elektrotechnik und Informationstechnik der Hochschule Fulda.

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