Course content

The course is offered every second year, but can be offered every year on request.

This course offers an introduction to acoustic remote sensing and model-based inversion for applications in acoustic, ultrasonic, seismic and electromagnetic waves. These applications require numerical methods for wave propagation modeling and model-based inversion. The forward models for wave propagation for both range independent and range dependent environment include ray theory, normal modes, wave number integration techniques and the parabolic equation. Common techniques for model-based inversion contain general linear least-squares, singular-value decomposition, regularization, linearization, and global inversion methods such as simulated annealing and genetic algorithms. Applications are drawn from the research literature and include topics such as inversion of geo-acoustics, geo-electromagnetic and seismic data, matched-field inversion, modal decomposition, and remote sensing.

Learning outcome

The objective is to give an introduction to the methodology for wave propagation modeling and inversion with applications in acoustical, ultrasonic, seismic and electromagnetic waves. The course links signal processing with wave propagation.

Learning methods and activities

Lectures, colloquiums and computer assignments

Compulsory assignments

• Exercises

Recommended previous knowledge

Knowledge of mathematics, and physics corresponding to the fifth years of master program in Electronics, mathematics and Physics.

Required previous knowledge

Knowledge of mathematics, and physics corresponding to the fifth years of master program in Electronics, mathematics and Physics.

Course materials

Finalized at the start of the course.