Fractal Signal Processing
| dc.authorscopusid | 57555731900 | |
| dc.authorscopusid | 57638459800 | |
| dc.authorscopusid | 18133769200 | |
| dc.authorscopusid | 15133029700 | |
| dc.contributor.author | Khalili Golmankhaneh, A. | |
| dc.contributor.author | Pham, D. | |
| dc.contributor.author | Banchuin, R. | |
| dc.contributor.author | Şevlï, H. | |
| dc.date.accessioned | 2025-10-30T15:28:25Z | |
| dc.date.available | 2025-10-30T15:28:25Z | |
| dc.date.issued | 2025 | |
| dc.department | T.C. Van Yüzüncü Yıl Üniversitesi | en_US |
| dc.department-temp | [Khalili Golmankhaneh] Ali, Department of Physics, Islamic Azad University, Urmia Branch, Urmia, Iran, Department of Mathematics, Van Yüzüncü Yıl Üniversitesi, Van, Turkey; [Pham] Diana T., The University of Texas at Arlington, Arlington, United States; [Banchuin] Rawid, Graduate School of Information Technology, Siam University, Bangkok, Thailand; [Şevlï] Hamdullah, Department of Computer Engineering, Van Yüzüncü Yıl Üniversitesi, Van, Turkey | en_US |
| dc.description.abstract | This paper presents a novel low-pass filtering framework based on Fractal First -order and Second -order designs, formulated within the framework of fractal calculus. By incorporating the structure of fractal time, the proposed filters can effectively process signals with intricate, non-differentiable characteristics. The fractal second -order low-pass filter is applied to a simulated noisy ECG signal, demonstrating significant noise suppression while preserving the essential morphological features of the waveform. A comparative study with the classical Bessel low-pass filter further illustrates the advantages of the fractal approach in capturing scale-invariant and self-similar properties of biomedical signals. These results highlight the potential of fractal-order filters for advanced biomedical signal processing. © 2025 Elsevier B.V., All rights reserved. | en_US |
| dc.identifier.doi | 10.1007/s00034-025-03338-9 | |
| dc.identifier.issn | 1531-5878 | |
| dc.identifier.scopus | 2-s2.0-105017019269 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.uri | https://doi.org/10.1007/s00034-025-03338-9 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14720/28803 | |
| dc.identifier.wosquality | Q3 | |
| dc.language.iso | en | en_US |
| dc.publisher | Birkhauser | en_US |
| dc.relation.ispartof | Circuits Systems and Signal Processing | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | ECG Signal Processing | en_US |
| dc.subject | Fractal Filter | en_US |
| dc.subject | Fractal α-Order Filter | en_US |
| dc.subject | Low-Pass Filter | en_US |
| dc.title | Fractal Signal Processing | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |