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Více informací o knize Neural Network Modelling For Channel Equalization

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• Anotace
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Anotace knihy

This work makes use of SFLA as a training algorithm to train multi-layer Artificial Neural Network (ANN). Next, The SFLA-ANNs are used for channel equalization. In this way, this book introduces a novel strategy for training of ANN and also proposes one novel approach for channel equalization problem. The proposed strategies are tested both in time-invariant and time varying channels and interestingly yields better performance than contemporary approaches as evidenced by simulation results.

Parametry knihy

• Plný název: Neural Network Modelling For Channel Equalization
• Autor: Sunita Panda
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 88
• EAN: 9786202197106
• ID: 18732525
• Nakladatelství: LAP Lambert Academic Publishing
• Hmotnost: 149 g
• Rozměry: 220 × 150 × 5 mm
• Rok vydání: 2017

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