Francisco Restivo

Phase Space Signal Filtering

In this article we propose an approach based on the analysis of phase space of time series, in order to improve the filtering process. In some applications the traditional filtering process can produce results that lead to a insufficient representation of the information contained in the signal. Using phase space we can have a different meaning for noise, its correlation with the signal and a supporting theory for accurate filtering.

E-manufacturing in Europe: Enterprise Networking

In the emerging global economy, where the demand for mass customized products with very short life cycles put new requirements in terms of the ability of enterprises to respond to change, new working relationships are now as important as new manufacturing devices and new manufacturing control architectures.