C. Ioana

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Studies conducted by the World Health Organization (WHO) indicate that over one billion suffer from neurological disorders worldwide, and lack of efficient diagnosis procedures affects their therapeutic interventions. Characterizing certain pathologies of motor control for facilitating their diagnosis can be useful in quantitatively monitoring disease(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)
  • F.-M Birleanu, C Ioana, A Serbanescu, G Serban, E Sofron
  • 2011
— 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)
  • F.-M Birleanu, C Ioana, C Gervaise, J Chanussot, A Serbanescu, G Serban
  • 2011
In the last decade, the applications of the recurrence plot analysis method make it a valuable alternative to the time-frequency and timescale tools. As it was initially developed for the study of dy-namical 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)
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)
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