Undergraduate study programme

Ak.g.2014./2015.2015./2016.2016./2017.2017./2018.

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Signals and Systems P403

ECTS 5 | P 30 | A 15 | L 15 | K 0 | ISVU 74048

Course groups

Prikaži sve grupe na predmetu

Course lecturers

LEVENTIĆ HRVOJE, Associate
GALIĆ IRENA, Lecturer
LIVADA ČASLAV, Associate

Course description

Mathematical models of time-continuous and time-discrete signals and systems. Classification. Analysis of linear systems. Fourier transforms of time-continuous and time-discrete signals (FS, FT, DTFT and DTFS). Frequency characteristics and filtering principles. Laplace and Z-transform. Decomposition and realisation of systems. Stability, controllability and observability of systems. Signal sampling and regeneration. Equivalence of time-continuous and time-discrete systems. Software used for analysis and simulation of systems.

Knowledge and skills acquired

Students acquire knowledge necessary for analysis and modelling signals and systems.

Teaching methods

Lectures, problem solving and laboratory practice.

Student assessment

Control tests and tests in laboratory practice.

Obligatory literature

1. B. P. Lathi. Linear Systems and Signals. Oxford University Press, 2004; ISBN: 0-19-515833-4

Pretraži literaturu

Recommended additional literature

1. A.V.Oppenheim, A.S.Willsky, Signale und Systeme, Arbeitsheft, VCH, Verlagsgessellschaft, Weinheim, 1989

2. Gabel i Roberts, Signals and Linear Systems, 3/e, J. Willey, 1987.

3. H. Babić. Signali i sustavi, Zavodska skripta, ZESOI, Fakultet elektrotehnike i računarstva Zagreb, 1996.

ECTS credits

An ECTS credit value has been added according to calculation of time required for studying and successful course completion.

Examination methods

Written and oral examination.

Course assessment

Students' questionnaire.

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. Definirati i klasificirati signale i sustave, te koristiti pojmove iz teorije signala i sustava.

2. Analitički riješiti matematičke modele vremenski kontinuiranih i vremenski diskretnih linearnih sustava prvog i drugog reda.

3. Modelirati dinamičke sustave u Simulinku, te programirati u MATLABu.

4. Definirati i objasniti princip superpozicije, superpozicijski integral, superpozicijsku sumu, konvolucijski integral i konvolucijsku sumu.

5. Definirati Laplaceovu i z-transformaciju, te primijeniti u određivanju odziva linearnih vremenski invarijantnih sustava.

6. Interpretirati četiri Fourierove transformacije (VKFR, VKFT, VDFR, VDFT) i njihova svojstva.



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Student's activity Workload ECTS (Workload/30) Learning outcomes
Upon successful completion of the course, students will be able to:
Teaching
method
Assessment method Points
Attendance
Lectures, Auditory exercises, Laboratory exercises

ECTS
Lectures, Auditory exercises, Laboratory exercises Attendance register. Mandatory attendance percentage is:
%

This percentage defines the minimum workload for the activity. The maximum is defined by the study programme.
Min

Max

Oral exam Workload
ECTS

Oral exam Assessment of student's answers Min

Max

Σ Activities Σ Workload
0
Σ ECTS
0
Σ Max
0