ANALYSIS OF PARALLEL SIGNAL PROCESSING ALGORITHMS USING SPLINE METHODS

Authors

  • Azimov Bunyod Rakhimjonovich Associate Professor of the Department of Artificial Intelligence, TUTU
  • Abduganiyev Mukhiddin Mukhiddin oglu Associate Professor of the Department of Artificial Intelligence, TUTU
  • Abdurakhimov Dostonbek Rustamjon oglu Designer of the PKQT and UMO Network Center at TUTU

Keywords:

parallel processing, numerical noise, spline functions, additive programming, random shifts

Abstract

The primary goal of the algorithm is to filter signals from random fluctuations and noise while enhancing resolution. A signal denoising algorithm was created based on the analysis of the noise model using spline functions, even when no prior information about the noise characteristics was available. Approaches for simulating parallel digital noise utilizing the potential of parallel digital processing within these algorithms have also been investigated.

References

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R. S. Chavan and V. R. Patil (International Journal of Research in Electronics and Computer Engineering, 2022).

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Published

2025-11-04

Issue

Vol. 2 No. 10 (2025): UNIVERSAL INTERNATIONAL SCIENTIFIC JOURNAL

Section

Articles

License

Copyright (c) 2025 Azimov Bunyod Raximjonovich, Аbdug‘aniyev Muxriddin Muxiddin o‘g‘li, Abdurakhimov Dostonbek Rustamjon o‘g‘li

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

ANALYSIS OF PARALLEL SIGNAL PROCESSING ALGORITHMS USING SPLINE METHODS. (2025). Universal International Scientific Journal, 2(10), 109-114. https://universaljurnal.uz/index.php/jurnal/article/view/3731