Fractal Signal Processing
Circuits, Systems, and Signal Processing, cilt.45, sa.4, ss.2431-2453, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 45 Sayı: 4
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s00034-025-03338-9
- Dergi Adı: Circuits, Systems, and Signal Processing
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Communication Abstracts, Compendex, zbMATH
- Sayfa Sayıları: ss.2431-2453
- Anahtar Kelimeler: ECG signal processing, Fractal filter, Fractal α-order filter, Low-pass filter
- Van Yüzüncü Yıl Üniversitesi Adresli: Evet
Özet
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.