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A Vector Approach to Transient Signal Processing
Florin-Marian Birleanu, Ion Candel, Cornel Ioana, Cedric Gervaise, Alexandru Serbanescu, Gheorghe Serban

A Vector Approach to Transient Signal Processing

Science & Mathematics Published 2012 Verification Pending

Overview & Synopsis

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.

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Document Information

Document Title A Vector Approach to Transient Signal Processing
Author / Organization Florin-Marian Birleanu, Ion Candel, Cornel Ioana, Cedric Gervaise, Alexandru Serbanescu, Gheorghe Serban
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2012
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-211681
Original Source Link Visit Source Page on hal.science »