The course is included in these curricula and study modules
- Electrical engineering 2005 - Electrical engineering
- Electrical engineering 2006 - Electrical engineering
- Mechanical and production engineering 2005 - Electrical engineering
- Mechanical and production engineering 2006 - Electrical engineering
- Information- and mediatechnology 2007 (electrical engineering) - Mobile systems
- Information- and mediatechnology 2008 (electrical engineering) - Mobile systems
Level/category
Teaching language
Swedish
Type of course
Compulsory
Recommended year of study
3
Total number of ECTS
5 cr
Competency aims
The aim of the course is to give the student understanding of electronic signals and knowledge in theory and practice about digital signal processing
Learning outcomes
At the end of the course the student is expected to be able to
- understand the basics of electronic signals
- mathematically handle digital signals
- handle digital media in the form of text, graphics, voice and image
Course contents
A. Signal Processing
1. Introduction
2. Signals and signal models
3. Laplace transformation
4. Matlab exercises
4.1 Exercise 1
4.2 Exercise 2
B. Theory of DSP
1. Introduction
2. Signals and Spectra
2.1 Signals and Fourier Transform
2.2 Linear Systems
3. Sampling
3.1 Sampling in Time and Spectrum - Sampling
Theorem
3.2 Oversampling and Subsampling
4. Quantising
4.1 Analog/Digital-Converter
4.2 Quantising Curve and Dynamic
4.3 Quantising Error and Quantising Noise
4.4 Digital/Analog-Converter
5. FIR-Filters (Transversal Filters)
5.1 Basics
5.2 Realization
C. Application of DSP in multimedia and in media
1. Audio
2. Graphics
3. Video
4. Data Compression (JPEG, MPEG)
Prerequisites and co-requisites
Basic knowledge in mathematics and electronics
Previous course names
ABC of DSP, 2001 - 2006
Recommended or required reading
Material on the Internet
Study activities
- Lectures - 66 hours
- Exercise based learning - 12 hours
- Laboratory lessons and tasks in a simulated environment - 6 hours
- Individual studies - 49 hours
Workload
- Total workload of the course: 133 hours
- Of which autonomous studies: 49 hours
- Of which scheduled studies: 84 hours
Mode of Delivery
Participation in tuition
Assessment methods
Exams
Assessment requirements
To pass the course the student should pass the following examinations:
Examination 1 ....
Examination 2.... etc.
(examinations include written examination tests, demonstrations and presentations, reports and produktions, essays, and also presence at specified occasions)
The examinations contribute to the final grade as follows: ...
Teacher
Grahn Kaj
Examiner
Grahn Kaj
Home page of the course
Group size
No limit
Course completion date
Date for course completion will be announced later
Assignments valid until
Until further notice
Assessment methods
2010-11-01 - Exams