Department of Computer Science & Engineering

University of Ioannina

Signals and Systems

Course Feature
Class Description

Course_ID: MYY503

Weekly Hours: 6

Semester: 5

ECTS Credits:6

Course Homepage:

Description: Signals and Systems of Discrete and Continuous Time, Special Signals, Classification of Signals and Systems, Linear Time Invariant (LTI) Systems, Impulse response, Convolution, Convolution Properties, Frequency Response, Stability, Fourier Transform (FT), Study of LTI systems with FT, Fourier Series. Z Transform, Discrete Time Fourier Transform, Discrete Time System Analysis, Discrete Fourier Transform (DFT), Linear and Circular Convolution of Discrete Time Signals.

  • Christophoros Nikou

    • Ph.D. in Image Processing and Computer Vision, Universite Louis Pasteur - Strasbourg I, France 1999
    • DEA in Photonics and Image Processing, Universite Louis Pasteur - Strasbourg I, France 1995
    • Diploma, Electrical Engineering Department, Aristotle University of Thessaloniki, Greece, 1994