Seismic Random Noise Suppression Using Optimal ANFIS as an Adaptive Self-Tuning Filter and Wavelet Thresholding

Random noise attenuation plays a vital step in seismic signal processing. Numerous attenuation algorithms have been developed to separate and remove the random noise; nevertheless, they have failed to attain high precision. In this work, a hybrid framework based on an optimal adaptive neuro-fuzzy in...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	K. Geetha, Malaya Kumar Hota
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Adaptive noise cancellation (ANC) honey badger algorithm (HBA) optimal adaptive neuro-fuzzy inference system (OANFIS) random noise seismic signal wavelet thresholding (WT)
Online-Zugang:	https://ieeexplore.ieee.org/document/10472038/
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!