Aim
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

• be able to formulate a specification of the project

• be able to plan how this can be realized during the time for the project

Skills and abilities
For a passing grade the student must

• be able to implement commonly used signal processing methods

• test various parts in the implementation and verify the solution

• present the solution orally and in a written report

Judgement and approach
For a passing grade the student must

• be able to analyze and evaluate the various parts of the implementation

Contents
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.

Literature
Material from the department.