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

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...

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Bibliographic Details
Main Authors: K. Geetha, Malaya Kumar Hota
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Adaptive noise cancellation (ANC)
honey badger algorithm (HBA)
optimal adaptive neuro-fuzzy inference system (OANFIS)
random noise
seismic signal
wavelet thresholding (WT)
Online Access:https://ieeexplore.ieee.org/document/10472038/

Internet

https://ieeexplore.ieee.org/document/10472038/

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