A Vector Approach to Transient Signal Processing

Florin-Marian Birleanu (1) , Ion Candel (1) , Cornel Ioana (1) , Cedric Gervaise (1) , Alexandru Serbanescu (2) , Gheorghe Serban (3)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 MTA - ATM - Military Technical Academy - Académie Technique Militaire [Bucharest, Romania]
3 UPIT - Universitatea din Pitesti [Roumanie]

The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation, which it also generalizes and extends. Results of VeSP based tools are provided, concerning detection of transient signals, noise reduction, and frequency estimation.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Florin-Marian Birleanu, Ion Candel, Cornel Ioana, Cedric Gervaise, Alexandru Serbanescu, et al.. A Vector Approach to Transient Signal Processing. ISSPA 2012 - 11th International Conference on Information Science, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.1174-1179. ⟨hal-00723308⟩