Discrete Wavelet Transform Enhances Denoising of Deep-Tow Magnetic Anomalies

This study explores the use of discrete wavelet transform (DWT) to reduce noise in deep-tow magnetic anomaly data collected near the seafloor. It systematically compares the denoising effectiveness of four wavelet families using synthetic models and real data from the western Pacific Ocean. The findings highlight the significant impact of mother wavelet choice on denoising quality, noting issues such as artifacts and distortion with certain wavelets.

Originally published by gnews