Course Syllabus for

Digital Filters and Signal Processing
Digitala filter och signalbehandling

EIT085F, 7.5 credits

Valid from: Autumn 2013
Decided by: FN1/Anders Gustafsson
Date of establishment: 2013-10-03

General Information

Division: Electrical and Information Technology
Course type: Third-cycle course
Teaching language: English


The course aims to give a thorough understanding in Discrete-Time Signal Processing. Increasing complexity, high requirements on performance in the form of throughput and low power consumption will increase the expectations from future designers. To have a solid base in this subject is one of the skills that are important for both circuit designers as well as system designers.


Knowledge and Understanding

For a passing grade the doctoral student must be able to describe simple and more advanced discrete-time systems

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must be able to sort out important information independently, from an extensive material, such as a textbook

Course Contents

Discrete time signals, the z-transform, In- output relationships, Sampling, Fourier analysis, transform analysis, DFT/FFT, FIR/IIR filters, Filter design techniques, Quantization, and more based on some 20 scientific papers, mainly journal papers.

Course Literature

Instruction Details

Types of instruction: Seminars, exercises. Seminars given by participants

Examination Details

Examination formats: Written assignments, seminars given by participants. Seminars based on the textbook material and seminars based on research papers, where the students will give seminars. At least 80% attendance on the seminars is demanded. The students will be offered a number of hand-in exercises to choose among. Certain flexibility is needed in the examination form depending on the number of students. Rules for reexamination: By agreement with the examiner.
Grading scale: Failed, pass

Admission Details

Further Information

Course coordinator: Peter Nilsson Research students from different abstraction levels from high level systems down to circuit and system levels are welcome to the course

Course Occasion Information

Contact and Other Information

Course coordinators:

Complete view