On the usage of the Sparse Fourier Transform in ultrasound propagation simulation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F24%3APU151033" target="_blank" >RIV/00216305:26230/24:PU151033 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3632047.3632064" target="_blank" >https://dl.acm.org/doi/10.1145/3632047.3632064</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3632047.3632064" target="_blank" >10.1145/3632047.3632064</a>
Alternative languages
Result language
angličtina
Original language name
On the usage of the Sparse Fourier Transform in ultrasound propagation simulation
Original language description
The Fourier transform is an algorithm for transforming the signal from the space/time domain into the frequency domain. This algorithm is essential for applications like image processing, communication, medicine, differential equations solvers, and many others. In some of these applications, most of the Fourier coefficients are small or equal to zero. This property of the signals is used by the Sparse Fourier transform which estimates significant coefficients of the signal with a lower time complexity than the Fourier transform. The goal of this paper is to evaluate available implementations of the Sparse Fourier transform on a set of benchmarks solving the ultrasound wave propagation in 1D, 2D, and 3D heterogeneous media. The results show that the fastest available implementation in 1D domains is MSFFT, however, it is not possible to use it in our implementation of the 2D Sparse Fourier transform. Thus the AAFFT 0.9 is selected for our implementation of the 2D Sparse Fourier transform as the most stable and acceptably fast implementation. The results on 3D simulation data show, that by using the SpFFT library it is possible to reduce the computation time of the Fourier transform in ultrasound wave propagation simulation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICBRA '23: Proceedings of the 10th International Conference on Bioinformatics Research and Applications
ISBN
979-8-4007-0815-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
107-113
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Barcelona
Event date
Sep 22, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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