Artificial Neural Networks for Modeling Twtas in Satellites - Sonia Gul - Books - LAP LAMBERT Academic Publishing - 9783848433230 - July 24, 2014
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Sonia Gul
Artificial Neural Networks for Modeling Twtas in Satellites

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Advances in satellite technology have made it possible to use satellites to provide efficient and reliable communication to users across a wide geographical area. Modern communications satellites typically amplify many frequency carriers in a single amplifier. A study of satellite communication technologies and neural networks is made to understand the importance and features of both. Based on this study, a Neural Network approach is presented for modeling nonlinear memoryless communication channels in satellites. In particular, the approximation of the nonlinear characteristics of traveling-wave tube (TWT) amplifier used in satellite communication is studied and discussed.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released July 24, 2014
ISBN13 9783848433230
Publishers LAP LAMBERT Academic Publishing
Pages 204
Dimensions 152 × 229 × 12 mm   ·   322 g
Language German  

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