Neural Network Modelling For Channel Equalization - Tapa blanda

Panda, Sunita

 
9786202197106: Neural Network Modelling For Channel Equalization
Tapa blanda
ISBN 10: 6202197102 ISBN 13: 9786202197106
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

My name is Dr. Sunita Panda. I was born in Orissa and presently I am staying in Bangalore. I have a vast experience of teaching different engineering subjects including BE, AEC, DE, ACS, AC etc. I have also associated with different techniques for modelling of neural network for channel equalization.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
6202197102
ISBN 13 
9786202197106
Encuadernación
Tapa blanda
Número de páginas
88
Contacto del fabricante
no disponible
Persona responsable
no disponible