Detail publikace

Evaluation of libraries for the one-dimensional sparse Fourier transform

OLŠÁK, O. JAROŠ, J.

Originální název

Evaluation of libraries for the one-dimensional sparse Fourier transform

Typ

prezentace, poster

Jazyk

angličtina

Originální abstrakt

Computing Sparse Fourier transforms is becoming popular in many applications working with large signals that are sparse in the spectral domain. This poster compares the performance of several C++ libraries computing the Sparse Fourier transform including MSFFT, AAFFT, DMSFT and GFFT. The proposed benchmark consists of random signals with various length and sparsity as well as signals received from one dimensional ultrasound simulation.  As the reference, the FFTW library, widely used library for computing the Fast Fourier transform, is used.

Autoři

OLŠÁK, O.; JAROŠ, J.

Vydáno

4. 11. 2022

Místo

Ostrava

Strany počet

1

URL

https://www.fit.vut.cz/research/publication/12813/

BibTex

@misc{BUT179839,
  author="Ondřej {Olšák} and Jiří {Jaroš}",
  title="Evaluation of libraries for the one-dimensional sparse Fourier transform",
  year="2022",
  pages="1",
  address="Ostrava",
  url="https://www.fit.vut.cz/research/publication/12813/",
  note="presentation, poster"
}

Dokumenty

Poster_IT4I_User_Conference_2022.pdf