2025
Signal Analysis and Inversion Methods
Name: Signal Analysis and Inversion Methods
Code: FIS10343M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Physics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: B-learning
Sustainable Development Goals
Learning Goals
Develop technical skills in most common signal processing and inversion techniques and its applications in Geophysics and Atmospheric Physics, particularly the most common numerical applications in these areas.
Contents
Digital signal processing and inversion methods - Analysis of discrete and continues time series. Applications of multivariate analysis to geophysics and climate. Principles and techniques of signal treatment geophysics and climate. Fast Fourier Transforms (FFT), Z transforms Laplace transforms. Deconvolution, fileter design and transfer function. Spectral analysis. Inverse problem in geophysics and Atmosphere.
Methods of linear and non linear inversion. Problem of non-unicity; Analysis of data and model resolutions. Applications.
Methods of linear and non linear inversion. Problem of non-unicity; Analysis of data and model resolutions. Applications.
Teaching Methods
Lectures using a PowerPoint presentation made available to students.
Remaining classes in the modality of practical problem solving/tutorial follow-up: recommended readings, numerical problem solving using MATLAB calculation, or other equivalent software.
Assessment is essentially continuous and involves two components:
i) resolution of problems posed in the course of classes
ii) presentation of an individual, final project work. If it is impossible to prepare the project, it can be replaced by a final exam to be held at the time of evaluation.
The final classification is obtained by the average of the evaluations of the problems solved and delivered (40%) and the project work or final exam (60%).
Remaining classes in the modality of practical problem solving/tutorial follow-up: recommended readings, numerical problem solving using MATLAB calculation, or other equivalent software.
Assessment is essentially continuous and involves two components:
i) resolution of problems posed in the course of classes
ii) presentation of an individual, final project work. If it is impossible to prepare the project, it can be replaced by a final exam to be held at the time of evaluation.
The final classification is obtained by the average of the evaluations of the problems solved and delivered (40%) and the project work or final exam (60%).
Teaching Staff
- José Fernando Borges [responsible]
Certificações
