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Träfflista för sökning "L773:2624 599X srt2:(2023)"

Sökning: L773:2624 599X > (2023)

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1.
  • Autio, Hanna, et al. (författare)
  • A Novel Algorithm for Directional Scattering in Acoustic Ray Tracers
  • 2023
  • Ingår i: Acoustics. - 2624-599X. ; 5:4, s. 928-947
  • Tidskriftsartikel (refereegranskat)abstract
    • It is vital to consider acoustic scattering when using geometrical acoustic simulation techniques, such as ray tracing. However, there are few methods for modelling scattering, and most rely on strong assumptions of uniformity on the distribution of scattered energy. In this paper, a model for directional scattering in ray tracers is presented. The model is based on an idealized model of a 1D scatterer, which is then used to extend the most commonly used scattering algorithm in ray tracers today. The developed algorithm is implemented in a ray tracer and tested to evaluate its performance compared to existing methods. It is found that the directional scattering algorithm can be used to replicate measured effects on room acoustic parameters caused by changes in the orientation of 1D scatterers.
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2.
  • Autio, Hanna, et al. (författare)
  • An Iterative Ray Tracing Algorithm to Increase Simulation Speed While Maintaining Overall Precision
  • 2023
  • Ingår i: Acoustics. - : MDPI AG. - 2624-599X. ; 5:1, s. 320-342
  • Tidskriftsartikel (refereegranskat)abstract
    • Ray tracing is a frequently used method for acoustic simulations, valued for its calculation speed and ease of use. Although it is fast, there are no fully ray tracing-based real-time simulation methods or engines. Under real-time restrictions, ray tracing simulations lose precision and the variance inherent in the random simulation method has too much impact on the outcome. In this paper, an algorithm called iterative ray tracing is presented that reduces the negative effects of real-time restrictions by iteratively improving the initial calculation and increasing the precision over time. In addition, new estimates of the expected value and variance of ray tracing simulations are presented and used to show the iteration steps in the new algorithm reduce variance, while maintaining the expected value. Simulations using iterative ray tracing are compared to measurements and simulations using the classical ray tracing method, and it is shown that iterative ray tracing can be used to improve precision over time. Although more testing is needed, iterative ray tracing can be used to extend most ray tracing algorithms, in order to decrease the adverse effects of real-time restrictions.
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  • Resultat 1-2 av 2
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Autio, Hanna (2)
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Bard Hagberg, Delphi ... (1)
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