13D031LIN - Linear and Nonlinear Signal Analysis
| Course specification | ||||
|---|---|---|---|---|
| Course title | Linear and Nonlinear Signal Analysis | |||
| Acronym | 13D031LIN | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | ||||
| Type of study | doctoral studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 9.0 | Status | elective | |
| Condition | None | |||
| The goal | Introducing students to advanced linear and nonlinear methods for signal analysis. | |||
| The outcome | The outcomes are the skills for the use of different methods for analyzing and classification of complex signals and processes. | |||
| Contents | ||||
| Contents of lectures | Properties of complex spatio-temporal signals. Extraction of dominant signal components. Principal and independent component analysis (PCA, ICA). Detrended fluctuation analysis (DFA). Wavelet transform. Basic concepts of self-similarity. Description of complex structures and phenomena by fractal geometry and multifractals. Fractal and multifractal analyses and applications. | |||
| Contents of exercises | Implementation of linear and nonlinear methods for time series and database analysis. | |||
| Literature | ||||
| ||||
| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 6 | ||||
| Methods of teaching | lectures and auditory exercises | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 70 | |
| Practical lessons | 0 | Oral examination | 0 | |
| Projects | 0 | |||
| Colloquia | 0 | |||
| Seminars | 30 | |||

