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Overview

Sampling Theory, Signal Processing, and Data Analysis (SaSiDa) is a journal focusing on the mathematical aspects of sampling theory, signal processing, and data analysis.

  • Welcomes papers on the mathematics of data science and machine learning.
  • Encourages cross-disciplinary advances and interactions.
  • Publishes high-quality research papers, survey articles, and seminal theoretical papers.
  • Covers a wide range of topics from traditional Fourier analytic methods to cutting-edge techniques like Compressive Sensing, Atomic Decomposition, and Deep Learning.
  • The journal has been accepted by Web of Science to receive an impact factor in 2025.
Editors-in-Chief
  • Professor Götz Pfander PhD

Journal metrics

Journal Impact Factor
1.1 (2024)
5-year Journal Impact Factor
1.1 (2024)
Submission to first decision (median)
31 days
Downloads
44.2k (2025)

Calls for papers

Latest articles

Journal updates

  • SaSiDa Best Paper Award at SampTA 25

    We are pleased to announce the winners of the Sampling Theory, Signal Processing, and Data Analysis (SaSiDa) Best Paper Award at the Sampling Theory and Applications 2025 (SampTA 2025) conference:

    Federico Riccardi — “An Optimal Estimate for the Norm of Wavelet Localization Operators”

    Yuliang Zhu, Ruiming Guo, Ayush Bhandari — “Ironing the Modulo Folds: Unlimited Sensing with 100x Bandwidth Expansion”

    Daniel Riley, Kasso Okoudjou — “On the (5,3)-Grassmannian and the p-Frame Potentials”

    Anna Veselovska, JĂŒrgen Prestin — “Super-resolution via Prony-Type Polynomials”

    Laura Weidensager — “Periodic Sobolev-Besov Regularity in Terms of Chui-Wang Wavelet Coefficients”

    Selection Committee: Peter Balazs, Helmut Bölcskei, Karlheinz Gröchenig, Armin Iske, Mark Iwen, Emily King, Felix Krahmer, Ilya Krishtal, Jose Luis Romero, Palina Salanevich (Chair), Sivananthan Sampath, Ahmed Zayed

    Our warmest congratulations to the winners, and heartfelt thanks to the editors for their support!

Journal information

Electronic ISSN
2730-5724
Print ISSN
2730-5716
Abstracted and indexed in
  1. Astrophysics Data System (ADS)
  2. Baidu
  3. CLOCKSS
  4. CNKI
  5. CNPIEC
  6. Dimensions
  7. EBSCO
  8. Emerging Sources Citation Index
  9. Google Scholar
  10. Japanese Science and Technology Agency (JST)
  11. Mathematical Reviews
  12. Naver
  13. OCLC WorldCat Discovery Service
  14. Ovid Discovery
  15. Portico
  16. ProQuest
  17. SCImago
  18. SCOPUS
  19. TD Net Discovery Service
  20. Wanfang
  21. eLibrary.ru
  22. zbMATH
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