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Regaining synchronisation with watermarks and neural networks

Reliable communication is an important part of everyday living. When transmitting a message over a physical channel, noise is introduced that causes errors in the message. These errors can be inversion errors or synchronization errors. The aim of this thesis is to investigate coding techniques to minimise the effect of synchronization errors that occurred in a transmitted message. Watermarks are inserted into the encoded sequence. A neural network system is implemented before the decoder to detect the watermark and regain synchronization. / Prof. H. C. Ferreira

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:9134
Date06 June 2008
CreatorsKnoetze, Reolyn
Source SetsSouth African National ETD Portal
Detected LanguageEnglish
TypeThesis

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