In this paper, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory an...
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
In this paper, sampling rate selection diversity (SRSD) scheme for Direct-Sequence / Spread-Spectrum (DS/SS) is proposed. In DS/SS communication systems, oversampling may be employ...
Yohei Suzuki, Anas Muhamad Bostamam, Mamiko Inamor...
Selective attention is a process widely used by biological sensory systems to overcome the problem of limited parallel processing capacity: salient subregions of the input stimuli...
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...