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Multi-Threaded Sound Propagation Algorithm to Improve Performance on Mobile Devices.
Kim, Eunjae; Choi, Sukwon; Kim, Cheong Ghil; Park, Woo-Chan.
Afiliação
  • Kim E; Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.
  • Choi S; Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.
  • Kim CG; Department of Computer Science, Namseoul University, Cheonan 31020, Republic of Korea.
  • Park WC; Department of Computer Science and Engineering, Sejong University, Seoul 05006, Republic of Korea.
Sensors (Basel) ; 23(2)2023 Jan 14.
Article em En | MEDLINE | ID: mdl-36679768
ABSTRACT
We propose a multi-threaded algorithm that can improve the performance of geometric acoustic (GA)-based sound propagation algorithms in mobile devices. In general, sound propagation algorithms require high computational cost because they perform based on ray tracing algorithms. For this reason, it is difficult to operate sound propagation algorithms in mobile environments. To solve this problem, we processed the early reflection and late reverberation steps in parallel and verified the performance in four scenes based on eight sound sources. The experimental results showed that the performance of the proposed method was on average 1.77 times better than that of the single-threaded method, demonstrating that our algorithm can improve the performance of mobile devices.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Som / Software Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Som / Software Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article