Høst 2020

FYS-2006 Signal processing - 10 stp

The course is administrated by

Institutt for fysikk og teknologi

Type of course

The course is available as a singular course. The course is also available to exchange students and Fulbright students.

Course overlap

FYS-260 Signal analysis (introduction) 9 stp

Course contents

The course outlines the fundamental importance of sinusoids, in the form of complex exponential functions, as building blocks of signals, and provides an introduction to frequency (spectrum) analysis. Sampling and aliasing is covered, and the processing of discrete signals using FIR and IIR filters both in the time (impulse response), frequency (system function) and Z-domain is explained. The continuous-time Fourier transform is introduced, with applications in amplitude modulation and sampling, leading to the definition of the discrete Fourier transforms (DFT and FFT). Exercises are emphasized. Practical signal processing using programming is also emphasized, hence basic programming skills are advantageous.

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Applicants from outside the Nordic countries: 1 October for the spring semester and 15 April for the autumn semester.

Admission requirements

Admission requirements are generell studiekompetanse + SIVING.

Local admission, application code 9391 - singular courses in engineering sciences. The course is also available to exchange students and Fulbright students.

Objective of the course

Knowledge - The student can

define the role of sinusoids in signals, e.g. for synthesizing music
describe the process of sampling and discretization of signals
define properties of different systems for processing signals
explain the complementary properties of time and frequency analysis
understand the Fourier transform of signals and its use

Skills - The student can

determine the correct sampling frequency for signal discretization
implement signal processing solutions in Python - process discrete signals using FIR and IIR systems
design filters for noise removal
analyze and design processing systems both in terms of time and frequency
use the Fourier-transform of a signal for frequency analysis and processing

General competence - The student can

appreciate the importance of signal processing in a society with signals everywhere
work with signal processing for data analysis
program scripts and functions in Python

Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 40 hours Exercises: 40 hours

Assessment

Portfolio assessment of up to three programming assignments, counting about 25 % and a final 4 hour written examination counting about 75 %. All components in the portfolio must be delivered and passed. One combined grade is given.

Assessment scale: Letter grades A-F. A is the highest grade and F is failed.

Re-sit examination (section 22): Students who have failed the last ordinary examination are offered a re-sit examination early in the following semester, provided that the course is compulsory in their study programme.

Postponed examination (sections 17 and 21): Students with valid grounds for absence will be offered a postponed examination. Postponed take-home examination is arranged during the semester if possible, otherwise early in the following semester. Postponed written examination is held early in the following semester.

See indicated sections in Regulations for examinations at the UiT The arctic university of Norway for more information.