On the Computational Complexities of Complex-valued Neural Networks

Autor: Mayer, Kayol Soares, Soares, Jonathan Aguiar, Cruz, Ariadne Arrais, Arantes, Dalton Soares

Publikováno v: IEEE Latin-American Conference on Communications (LATINCOM 2023)

Complex-valued neural networks (CVNNs) are nonlinear filters used in the digital signal processing of complex-domain data. Compared with real-valued neural networks~(RVNNs), CVNNs can directly handle complex-valued input and output signals due to the

Externí odkaz: http://arxiv.org/abs/2310.13075

PCA-based Channel Estimation for MIMO Communications

Autor: Soares, Jonathan Aguiar, Mayer, Kayol Soares, Valadares, Pedro Benevenuto, Arantes, Dalton Soares

In multiple-input multiple-output communications, channel estimation is paramount to keep base stations and users on track. This paper proposes a novel PCA-based-principal component analysis-channel estimation approach for MIMO orthogonal frequency d

Externí odkaz: http://arxiv.org/abs/2209.13458

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Rede neural de função de base radial de transmissão de fase complexa para decodificação mimo-ofdm massiva

Autor: Soares, Jonathan Aguiar, 1991

Publikováno v: Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP

Orientador: Dalton Soares Arantes Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação Resumo: Os esquemas de transmissão MIMO (multiple-input multiple-output) se tornaram as técnicas esc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::58a5919cf633ee3de39571ed1efa6696

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