RBF neural networks with centers assignment via Karhunen-Loeve transform. - Maria Cristina Felippetto de Castro; Fernando César Comparsi de Castro; Dalton Soares Arantes (IJCNN, 1999)

8-VSB channel coding analysis for DTV broadcast. - Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro; Marcelo A. C. Fernandes; Dalton Soares Arantes (IEEE Trans. Consumer Electron., 2000)

Concurrent blind deconvolution for channel equalization. - Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro; Dalton Soares Arantes (ICC, 2001)

Predição não-linear de series temporais usando redes neurais RBF por decomposição em componentes principais. - Maria Cristina Felippetto de Castro (2001)

Automatic Gender Identification by Speech Signal Using Eigenfiltering Based on Hebbian Learning. - Rubem Dutra Ribeiro Fagundes; Alexandre A. Cheuiche Martins; Fernando Comparsi de Castro; Maria Cristina Felippetto de Castro (SBRN, 2002)

Electrocardiogram Pattern Recognition by Means of MLP Network and PCA: A Case Study on Equal Amount of Input Signal Types. - Fabian Vargas 001; Maria Cristina Felippetto de Castro; Marcello Macarthy; Djones Lettnin (SBRN, 2002)

An Intelligent Network Simulation Platform Embedded with Multi-agents Systems for Next Generation Internet. - Maria Cristina Felippetto de Castro; Hugues Lecarpentier; Leïla Merghem; Dominique Gaïti (ICT, 2004)

Frequency Domain Concurrent Channel Equalization for Multicarrier Systems. - Fábio D'Agostini; Sirlesio Carboni Júnior; Maria Cristina Felippetto de Castro; Fernando Comparsi de Castro (J. Braz. Comput. Soc., 2007)

Concurrent Blind Channel Equalization with Phase Transmittance RBF Neural Networks. - Diego Vier Loss; Maria Cristina Felippetto de Castro; Paulo Roberto Girardello Franco; Fernando Comparsi de Castro (J. Braz. Comput. Soc., 2007)

Adaptive Concurrent Equalization Applied to Multicarrier OFDM Systems. - Fábio D'Agostini; Sirlesio Carboni Júnior; Maria Cristina Felippetto de Castro; Fernando Comparsi de Castro; Diego von Brixen Montzel Trindade (IEEE Trans. Broadcast., 2008)

A Dynamic Tap Allocation for Concurrent CMA-DD Equalizers. - Diego von Brixen Montzel Trindade; Vitor Halmenschlager; Leonardo Ortolan; Maria Cristina Felippetto de Castro; Fernando Comparsi de Castro; Fabrício Ourique (EURASIP J. Adv. Signal Process., 2010)

Window Walker - a Markov-Based Adaptive Bit Window Selection for DSP Blocks. - Tiago Baptista Noronha; Diego von Brixen Montzel Trindade; Vitor Halmenschlager; Maria Cristina Felippetto de Castro; Fernando César Comparsi de Castro; Edilson Fernandes de Arruda (J. Circuits Syst. Comput., 2012)

Cloud Services Evaluation through QoE: A Methodological Approach. - Frederico G. I. da Costa; Maria Cristina Felippetto de Castro; Candice Müller; Fernando Comparsi de Castro (SBAC-PAD, 2015)

Symbol Synchronization for OFDM Receivers with FFT Transport Delay Compensation. - Diego Pinto Dos Santos; Candice Müller; Fábio D'Agostini; Maria Cristina Felippetto de Castro; Fernando Comparsi de Castro (J. Circuits Syst. Comput., 2015)

Bandwidth Efficient Gaussian Minimum Frequency-Shift Keying Approach for Software Defined Radio. - Lucas C. Galvao; Candice Müller; Maria Cristina Felippetto de Castro; Fernando César Comparsi de Castro; Kayol Soares Mayer (SBCCI, 2018)

Cognitive radio signal classification based on subspace decomposition and RBF neural networks. - Ludimila La Rosa Centeno; Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro; Candice Müller; Sandro Machado Ribeiro (Wirel. Networks, 2018)

A New CPFSK Demodulation Approach for Software Defined Radio. - Kayol Soares Mayer; Candice Müller; Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro (J. Circuits Syst. Comput., 2019)

Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer. - Kayol Soares Mayer; Matheus Senna de Oliveira; Candice Müller; Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro (Wirel. Commun. Mob. Comput., 2019)

Multilayer Radial Basis Function Neural Network for Symbol Timing Recovery. - Candice Müller; Kayol Soares Mayer; Fernando César Comparsi de Castro; Maria Cristina Felippetto de Castro; Samuel Tumelero Valduga; Natanael Rodrigues Gomes (Neural Process. Lett., 2023)