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

Aim

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.

Goals

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
Examiner:

Admission Details

Further Information

Course coordinator: Peter Nilsson peter.nilsson@eit.lth.se 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:


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