Time series: theory and methods
Time series: theory and methods
Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability
Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability
Automatica (Journal of IFAC)
HIBI '09 Proceedings of the 2009 International Workshop on High Performance Computational Systems Biology
Robust H∞ filtering for nonlinear stochastic systems
IEEE Transactions on Signal Processing
Hi-index | 0.01 |
In the present study we addressed the signal processing communication. Spontaneous communication recognition and understanding is a difficult problem and it must be considered not only the information signal itself but also the context in which it appears. Given the context, people can understand the communication signal even when it is affected by noise. Understanding the context of communication based on an extensive knowledge of the world and this was the source of the difficulty in 40 years of research. Communication recognition by computer is currently possible only for individual words, by limiting the vocabulary or the number of speakers or restricting how to form sentences.