Course plan

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Syllabus:

Electronics MA, Applied Digital Filters, 3 Credits


General data

Code: EL022A
Subject/Main field: Elektronik
Cycle: Second cycle
Credits: 3
Progressive specialization: A1N - Second cycle, has only first-cycle course/s as entry requirements
Answerable department: Department of Electronics Design
Answerable faculty: Faculty of Science, Technology and Media
Established: 7/1/2010
Date of change: 3/30/2015
Version valid from: 7/1/2015

Aim

The course aims to provide a deeper understanding of the theory of digital filters and give practical skills to implement and analyse digital filters using computer aids.

Course objectives

After completion of the course the student must demonstrate the ability to:
- Design and analyse a FIR- or IIR-filter using computer-aided design tools for calculating the filter parameters,
- apply and analyse principles for different ways of realising time-discrete digital filters,
- apply and analyse method for floating point to fixed point conversion of computations in digital filters,
- apply and analyse method for modelling, simulation and evaluation of impacts from quantization due to fixed point computations.

Content

Time- and amplitude discrete filters, FIR-filters, IIR-filters, realisation, stability, computer-aided computation of filter parameters and computer aided modelling and simulation of impact from quantization in filters realized by fixed point computations.

Entry requirements

Electrical Engineering, 60 Credits (60 ECTS) including digital Electronics, analogue Electronics, Metrology and Mathematics 18 Credits (18 ECTS).

Selection rules and procedures

The selectionprocess is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

Teaching is done by lectures, laborations and a project assignment.

Examination form

Examination is done by a written report on the project assignment.

Grading system

The grades A, B, C, D, E, Fx and F are given on the course. On this scale the grades A through E represent pass levels, whereas Fx and F represent fail levels.

Course reading


Required literature

Author: Steven W. Smith
Title: Guide to digital signal processing
URL: http://www.dspguide.com