Signal processing for geophysical applications

Program introduction

This program introduces signal processing techniques used in geophysical data analysis, with emphasis on seismic and distributed acoustic sensing (DAS) applications, bridging theoretical foundations and practical implementation.

Program scope

Classical and modern signal processing methods for analyzing, filtering, and enhancing geophysical signals while preserving physically meaningful information. Participants work through both single-channel and multichannel workflows used in research and industry.

Program topics

• Time-frequency analysis
• Filtering and noise attenuation
• Multichannel signal processing
• Transform-based methods
• Applications to seismic and DAS data

Courses & teaching materials

Materials are organized around the main signal processing themes, built to support learning from theoretical concepts through to applied geophysical case studies, with an emphasis on reproducible workflows and real data.

Resources include lecture notes, slides, and hands-on numerical exercises, suitable for classroom teaching or independent study.

Target audience

Graduate students, geophysicists, researchers, and industry professionals looking to build advanced signal processing and spectral analysis skills applied to seismic exploration and Distributed Acoustic Sensing (DAS).