Prerequisite/Recommended prerequisite for participation in the module

Mathematics, Micro processors and programming, fundamental control theory and modelling

Content, progress and pedagogy of the module

Purpose
To offer students with fundamental knowledge about analysis, design and implementation of digital systems, including digital controllers or filters.

Learning objectives

Knowledge

• Must have the knowledge of Z-transform and its application in analysis and design of digital signals and systems
• Must have knowledge about sampling theories and methods for processing of physical signals on a computer
• Must have knowledge about theories and methods for spectral estimation
• Must have knowledge about theories and methods for design of digital filters (IIR/FIR)
• Must be able to implement IIR filters using bilinear transforms and impulse invariant methods
• Must have an understanding of the limitations of taught theories and methods
• Must have knowledge about the interplay between analysis of signals in the time and frequency domains
• Must have knowledge about basic implementation structures and specific DSP implementation

Skills

• Shall be able to utilize some software tools for analysis, design and simulation of digital signal processing systems
• Must be able to apply theories and methods for spectral estimation including DFT / FFT
• Must be able to demonstrate the correlation between frequency resolution, window functions and zero-padding
• Must be able to apply theories and methods for design of digital filters
• Must be able to design FIR filters using windowing methods
• Must be able to explain the relationship between the pole/zero plots and frequency responses of digital filters
• Must be able to implement filters in practice, making use of appropriate filter structures, quantization, and scaling.

Competences

• Shall be able to discuss fundamental theories and methods for analysis and processing of digital signals, using correct terminology
• Shall be able to assess opportunities and limitations in connection with practical application of taught theories and methods

Type of instruction

The programme is based on a combination of academic, problem-oriented and interdisciplinary approaches and organised based on the following work and evaluation methods that combine skills and reflection: • Lectures • Classroom instruction • Project work • Workshops • Exercises (individually and in groups) • Teacher feedback • Reflection • Portfolio work

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student.

Exam

Exams

Name of exam	Signal Processing
Type of exam	Written or oral examination
ECTS	5
Permitted aids	With certain aids, see list below Unless otherwise stated in the course description in Moodle, it is permitted to bring all kinds of (engineering) aids including books, notes and advanced calculators. If the student brings a computer, it is not permitted to have access to the Internet and the teaching materials from Moodle must therefore be down loaded in advance on the computer. It is emphasized that no form of electronic communication must take place.
Assessment	Passed/Not Passed
Type of grading	Internal examination
Criteria of assessment	As stated in the Joint Programme Regulations. http:/​/​www.engineering.aau.dk/​uddannelse/​studieadministration/​