Regaining Synchronization with Watermarks and Neural Networks: Correcting insertion and deletion errors with binary, weightless neural networks and watermarks - Image 1

£49.00

LAP Lambert Academic Publishing Regaining Synchronization with Watermarks and Neural Networks: Correcting insertion and deletion errors with binary, weightless neural networks and watermarks

Name: Regaining Synchronization with Watermarks and Neural Networks: Correcting insertion and deletion errors with binary, weightless neural networks and watermarks
Brand: LAP Lambert Academic Publishing
Price: 49.0 GBP
Availability: InStock

Electrical Engineering

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Description

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.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3838385667
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Electrical > Electrical Engineering
Domain: Amazon UK
Release Date: 03 September 2010
Listed Since: 06 September 2010

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LAP Lambert Academic Publishing Regaining Synchronization with Watermarks and Neural Networks: Correcting insertion and deletion errors with binary, weightless neural networks and watermarks

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