Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Can explain the relationship between  time, frequency and wavelet analysis
• Can account for adaptive filtering and multivariate signal processing
• Can explain methods for estimating features in biological signals

Skills

• Can characterise non-linear methods of analysis
• Can characterise and analyse the frequency content of a biological signal in relation to time
• Can identify different non-linear methods for analysing biological signals
• Can argue for the choice of appropriate time-frequency distribution in relation to different biomedical problems
• Can design wavelets for time-frequency analysis and adaptive filtering
• Can assess which adaptive filters are suitable for solving a given task
• Can use multivariate methods for classification and feature space reduction

Type of instruction

The module is taught, cf. §17 of the study programme

Exam

Exams