Syllabus academic year 2009/2010
(Created 2009-08-11.)

Higher education credits: 6. Grading scale: UG. Level: A (Second level). Language of instruction: The course might be given in English. Optional for: C4, C4sst, D4, D4sst, E4, E4ss, MSOC2. Course coordinator: Martin Stridh,, Inst för elektro- och informationsteknik. Prerequisites: ESS040 Systems and Signals or ETI265 Signal Processing in Multimedia or ETT080 Signals and Communications. Recommended prerequisits: ETT042 Adaptive Signal Processing or ETT074 Optimum Signal Processing or both. The number of participants is limited to 30 Selection criteria: 1. Credits achieved in ESS040 Systems and Signals, ETT270 Digital Signal Processing in Audio/Video, ETT042 Adaptive Signal Processing and ETT074 Optimum Signal Processing. 2. Marks achieved in this courses. Assessment: Written report and oral presentation of the project work. Home page:

The course gives the knowledge of implementation of digital signal processing algorithms in digital signal processors. Also, the course emphasis the problems that occur in real time digital signal processing and evaluate the performance of the implementations.

Knowledge and understanding
For a passing grade the student must

Skills and abilities
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Digital signal processing can be found in a wide range of applications, such as acoustic signal processing, biomedical signal processing and communications. The students are divided into groups of two to four persons and choose a subject among the given proposed projects. Then, the work is to implement their solution to the actual problem in a DSP (and in Matlab). The course starts with some prepared laboratory works where the students test the DSP environment. During the course, we have one meeting every week between the students and the supervisors. The result of the project work is presented in a written report as well as orally at the end of the course.

Material from the department.