Regaining Synchronization 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 book is to investigate coding techniques to minimise the effect of synchronization errors that occur in transmitted messages. Watermarks are inserted into the encoded sequences. A very simple binary neural network system is implemented to detect the watermark sequences and regain synchronization.

Autorentext

Reolyn Heymann is a lecturer at the University of Johannesburg in South Africa. She is part of the Telecommunication Research Group of the University of Johannesburg, under the leadership of Prof. Hendrik Ferreira. Her research interests include error control coding, power line communications and machine learning techniques.