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2013-03-10 - Article/Dans un journal avec peer-review - Anglais - 11 page(s)

Ibala Christian, Escobar Juzga Fernando , Chang Xin , Valderrama Carlos , "Hybrid Algorithm Computation Methodology to Accelerate Sound Source Localization " in International Journal of Microelectronics and Computer Science, 4, 1, 12-25, ISSN 2080-8755

  • Codes CREF : Electronique et électrotechnique (DI2411), Electronique générale (DI2510)
  • Unités de recherche UMONS : Electronique et Microélectronique (F109)
  • Instituts UMONS : Institut de Recherche en Technologies de l’Information et Sciences de l’Informatique (InforTech), Institut des Sciences et du Management des Risques (Risques)
Texte intégral :

Abstract(s) :

(Anglais) Latest algorithm solutions for sound source localization have dramatically increased their computation burden. This paper proposes a novel hybrid algorithm with the ability to adapt its search spectrum based on target movement; we also show some studies and metrics to analyze its implementation constraints and remark its advantages over previous solutions. The proposed algorithm provides a good balance between processing power and real-time execution; our approach combines the General Cross Correlation (GCC) with the Delay and Sum Beamforming (DSB) algorithm, such that, less than 50% of the DSB computation is necessary to locate the sound source.

Identifiants :
  • ISSN : 2080-8755