Fourier Transform of Set-Valued Functions with an Application in Signal Processing

  • Halise LEVENT Department of Mathematics, Inonu University, 44280, Malatya, Turkey
  • Yılmaz YILMAZ Department of Mathematics, Inonu University, 44280, Malatya, Turkey
Keywords: set-valued functions, normed quasilinear spaces, Aumann integral, integrable selection, Fourier transform

Abstract

In this paper, we have presented an application with respect to the Fourier transform of an interval-valued function. Thanks to this application we have obtained some information about the Fourier transform of the signals with inexact data. For this purpose we have identified the interval signal that most closely resembles this non-deterministic signal with a very small error. This continuous-time interval signal is called as model
interval signal.  Therefore, we have obtained approximate results for the Fourier transform of non-deterministic signals by calculating the Fourier transform of this model interval signal.

Downloads

Download data is not yet available.

References

Bulak, F. O., & Bozkurt, H. (2023). Soft quasilinear operators in soft normed quasilinear spaces. Journal of Intelligent & Fuzzy Systems, 3, 4847-4856. https://doi.org/10.3233/JIFS-230035

Bozkurt, H., & Yilmaz, Y. (2016). Some new results on inner product quasilinear spaces. Cogent Mathematics, 3, 1194801. https://doi.org/10.1080/23311835.2016.1194801

Levent, H., & Yilmaz, Y. (2018). Translation, modulation and dilation systems in set-valued signal processing. Carpathian Mathematical Publications, 10, 143-164. https://doi.org/10.15330/cmp.10.1.143-164

Levent, H., & Yilmaz, Y. (2022). Analysis of signals with inexact data by using interval-valued functions. The Journal of Analysis, 1-17. https://doi.org/10.1007/s41478-022-00422-0

Lessard, J. P., Gameiro, M., & Ricaud, Y. (2015). Rigorous numerics for piecewise-smooth systems: A functional analytic approach based on Chebyshev series. Journal of Computational and Applied Mathematics. https://doi.org/10.1016/j.cam.2015.05.016

Lessard, J. P. (2018). Computing discrete convolutions with verified accuracy via Banach algebras and the FFT. Applications of Mathematics, 63, 1-17. https://doi.org/10.21136/AM.2018.0082-18

Vetterli, M., Kovacevic, J., & Goyal, V. K. (2014). Foundations of signal processing. https://doi.org/10.1017/CBO9781139839099

Christensen, O. (2010). Functions, spaces and expansions: Mathematical tools in physics and engineering. https://doi.org/10.1007/978-0-8176-4980-7

Moore, R. E., Kearfott, R. B., & Cloud, M. J. (2009). Introduction to interval analysis. SIAM. https://doi.org/10.1137/1.9780898717716

Aumann, R. J. (1965). Integrals of set-valued functions. Journal of Mathematical Analysis and Applications, 2, 1-12. https://doi.org/10.1016/0022-247X(65)90049-1

Aseev, S. M. (1986). Quasilinear operators and their application in the theory of multivalued mappings. Proceedings of the Steklov Institute of Mathematics, 2, 23-52.

Wang, X., Pan, Z., He, N., & Gau, T. (2023). Sea-YOLOv5s: A UAV image-based model for detecting objects in Sea DronesSee dataset. Journal of Intelligent & Fuzzy Systems, 3, 3575-3586. https://doi.org/10.3233/JIFS-230200

Yilmaz, Y., Bozkurt, H., & Cakan, S. (2016). On orthonormal sets in inner product quasilinear spaces. Creativity and Mathematical Informatics, 25, 229-239. https://doi.org/10.37193/CMI.2016.02.15

Yilmaz, Y., & Levent, H. (2021). Inner-product quasilinear spaces with applications in signal processing. Advanced Studies: Euro-Tbilisi Mathematical Journal, 14. https://doi.org/10.32513/asetmj/1932200818

Yilmaz, Y., Erdogan, B. K., & Levent, H. (2024). Shannon's sampling theorem for set-valued functions with an application. Mathematics, 12. https://doi.org/10.3390/math12192982

Published
2026-04-27
How to Cite
LEVENT, H., & YILMAZ, Y. (2026). Fourier Transform of Set-Valued Functions with an Application in Signal Processing. Earthline Journal of Mathematical Sciences, 16(3), 515-524. https://doi.org/10.34198/ejms.16326.34.515524