Course Objectives

Digital signal processing methods and tools, emphasising design and analysis of digital filters.

Course Description

Digital signal processing operations, signal types and noise

Discrete Fourier- and Z-Transformations

Design of digital filters and comparison with analogue filters

Learning Methods

Lectures

Practical assignments

Maths lab

Visit to companies

Assessment Methods

Mid-term examination (40%) and final examination (60%).

Students must have their obligatory practical assignments and laboratory assignments approved before they are permitted to sit the final examination.

Minor adjustments may occur during the academic year, subject to the decision of the Dean