Course - Wave Propagation Modelling and Inversion - TT8306
Wave Propagation Modelling and Inversion
About
About the course
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
A. Knowledge: (1) To get a profound understanding of methodology for wave propagation modeling and inversion with applications in acoustical, ultrasonic, seismic and electromagnetic waves; (2) To get a profound understanding of signal processing related to wave propagation problems; (3) To get a profound understanding of remote sensing of the seabeds topography, structure, and composition.
B. Skills: (1) To be able to model and analyze wave fields in layered media using theoretical and numerical models; (2) To be able to use signal processing methods to analyze measured data; (3) To be able to use inversion techniques to estimate seabed parameters.
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.
Subject areas
- Technological subjects