Echo state networks (ESNs) can be interpreted as promoting an encouraging compromise
between two seemingly conflicting objectives:(i) simplicity of the resulting mathematical …

Signals and Images: Advances and Results in Speech, Estimation, Compression,
Recognition, Filtering, and Processing cohesively combines contributions from field experts …

Echo state networks (ESNs) characterize an attractive alternative to conventional recurrent
neural network (RNN) approaches as they offer the possibility of preserving, to a certain …

In this work, we propose a general framework for nonlinear prediction-based blind source
deconvolution that employs recurrent structures (multi-layer perceptrons and an echo state …

As redes neurais com estados de eco (em inglês, echo state networks, ESNs) sao estruturas
recorrentes capazes de aliar processamento dinâmico a um processo de treinamento …

In this work, we perform an analysis, in the context of channel equalization, of two criteria
that can be considered central to the field of information theoretic learning (ITL): the …

Diversas atividades, como a exploraçao e o moni-toramento de reservatórios de petróleo,
requerem o conhecimento de propriedades da subsuperfıcie da regiao de interesse. A …

O trabalho é dividido em duas partes e trata de três problemas importantes existentes nos
sistemas de comunicação: o gerenciamento espectral, o cancelamento de interferências e a …

Signal processing is a broader field than it may seem prima facie. Essentially, it is related to
the notion of using a specially designed system (which will be termed filter) to mold an input …

In this work, we propose a general framework for nonlinear prediction-based blind source
deconvolution that employs recurrent structures and an immune-inspired optimization tool …