Learn More
In the last decade, the applications of the recurrence plot analysis method make it a valuable alternative to the time-frequency and time-scale tools. As it was initially developed for the study of dynamical systems, and was later used in nonlinear time series analysis, the question of using it as a signal processing tool has not been put into discussion(More)
The Generalized Complex time distributions have been recently introduced as a way for reducing the auto-terms of any bilinear time-frequency representation that appear when dealing with non-linear time-frequency structures. This concept requires the definition of signal at complex times and this abstract operation is achieved by the analytical continuation(More)
Various methods have been developed to improve mortality forecasts. The authors proposed a neuro-fuzzy model to forecast the mortality. The forecasting of mortality is curried out by an ANFIS model which uses a first order Sugeno-type FIS. The model predicts the yearly mortality in a one step ahead prediction scheme. The method of trial and error was used(More)
— In order to control water flow in power generation systems, obtaining precise information about the parameters of the flow is important. The construction of such systems, as well as the operating conditions, impose the use of non-intrusive techniques. The use of ultrasounds allows solving this problem in a simple and elegant manner. The technique consists(More)
The paper presents a new technique in the field of tourism modelling in order to forecast the tourism demand. Techniques from the Artificial Neural Networks and from fuzzy logic have been combined to generate a neuro-fuzzy model to forecast the tourism demand on next year in island of Crete. The tourist practitioners are very interesting in tourism(More)
A real environment identification system is based on observations analysis which are often non stationary. A mechanical machine generating acoustic signals or an underwater environment are examples of systems characterized by non-stationary signals. Their analysis in the time-frequency domain is well adapted so that it offers appropriated structures which(More)
  • 1