Title :
A vector approach to transient signal processing
Author :
Birleanu, Florin-Marian ; Candel, Ion ; Ioana, Cornel ; Gervaise, Cedric ; Serbanescu, Alexandru ; Serban, Gheorghe
Author_Institution :
GIPSA-Lab., Grenoble Inst. of Technol., Grenoble, France
Abstract :
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.
Keywords :
frequency estimation; interference suppression; signal detection; time-frequency analysis; vectors; RPA method; VeSP concept; frequency estimation; generic framework; noise reduction; recurrence plot analysis method; time-frequency analysis; transient signal detection; transient signal processing; vector sample processing concept; Equations; Signal to noise ratio; Time frequency analysis; Transient analysis; Vectors;
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
DOI :
10.1109/ISSPA.2012.6310462
