Subject: Systems and Signals in Geomatics (17 - GI206)


Basic Information

CategoryTheoretical-methodological
Scientific or art field:Automatic Control and System Engineering
InterdisciplinaryNo
ECTS4
Course specification

Course is active from 01.10.2007..

Acquiring basic and applied knowledge in the field of systems and signals in geomatics.
Acquired knowledge is used in professional courses, as well as in the recognition and in solving the engineering problems.
Fundamentals of signals and systems. Basic characteristics of signals and systems. Basic continuous time signals. Modification of the independent time variable t in continuous signals. Continuous time convolution. Basic discrete time signals. Modification of the independent time variable n in discrete signals. Discrete time convolution. Characteristics of continuous systems. Linear Time Invariant Systems (LTI). Continuous LTI systems. Characteristics of discrete systems. Discrete LTI systems. Signal analysis in frequency domain. Fourier series representation of periodic signals. Continuous- time Fourier transform. Fundamentals of digital image processing. 2D signals and systems. Properties of light and human visual system. Methods for improving image quality in spatial and frequency domain.
Lectures, exercises, consultations.
AuthorsNameYearPublisherLanguage
Oppenheim, A.V. et alSignals and Systems1996 Prentice Hall; 2 edition English
Kavanagh, B.F.Geomatics2003Prentice HallEnglish
John E. Harmon and Steven J. AndersonThe Design and Implementation of Geographic Information Systems2003 Wiley English
R. N. Trebits , J. L. KurtzRadar Sensor Technology2000SPIE-International Society for Optical EngineEnglish
Course activity Pre-examination ObligationsNumber of points
TestYesYes10.00
TestYesYes10.00
TestYesYes10.00
Coloquium examNoNo20.00
Oral part of the examNoYes50.00
Practical part of the exam - tasksNoYes20.00
Name and surnameForm of classes
Missing picture!

Stanišić Darko
Associate Professor

Lectures
Missing picture!

Mejić Luka
Assistant Professor

Computational classes