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Neural networks applied to wireless communications

Stegmayer Machado, Georgina S. et al · SEDICI UNLP · 2006

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Author / responsible party
Stegmayer Machado, Georgina S. et al
Publisher
SEDICI UNLP
Year
2006
Language
English

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This paper presents a time-delayed neural network (TDNN) model that has the capability of learning and predicting the dynamic behavior of nonlinear elements that compose a wireless communication system. This model could help speeding up system deployment by reducing modeling time. This paper presents results of effective application of the TDNN model to an amplifier, part of a wireless transmitter. IFIP International Conference on Artificial Intelligence in Theory and Practice - Neural Nets Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Stegmayer Machado, G. S. E. A. (2006). Neural networks applied to wireless communications. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23876

MLA

Stegmayer Machado, Georgina S. et al. Neural networks applied to wireless communications. SEDICI UNLP, 2006. http://sedici.unlp.edu.ar/handle/10915/23876.

Chicago

Stegmayer Machado, Georgina S. et al. 2006. Neural networks applied to wireless communications. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/23876.

Harvard

Stegmayer Machado, G. S. E. A. 2006, Neural networks applied to wireless communications, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/23876 [Accessed 8 Aug. 2026].

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Title
Neural networks applied to wireless communications
Author / contributors
Stegmayer Machado, Georgina S. et al
Publisher
SEDICI UNLP
Publication year
2006
Language
English

Subjects

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Ciencias Informáticas; Neural nets; Wireless communication; time-delayed neural network (TDNN); nonlinear elements
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