Course Details

Course Code (English)*

Semester*

Title (English)*

Lecture Hours (Weekly)

ECTS Credits*

Course Type (English)

Prerequisites (English) Complex numbers and integrals

Course URL (e.g., on e-class)

Learning Outcomes (English) The objective of the course to provide an introduction to signals as well as to the systems that produce them, concentrating on linear systems. It offers basic system design knowledge voice processing, image processing, telecommunication systems, automatic systems, robotics, etc and it helps in understanding and modeling complicated modern systems.

General Competencies (English) Independent work Team work Promoting free, creative and deductive thought

Course Content (English) Basic signal and systems categories. Continuous and discrete time. Systems stability. Basic systems definitions, linear time invariant systems and representations. Definition of stationary and ergodic. Fourier Series. Basic properties of Fourier transforms and orthogonal transforms. Circular and linear Convolution. Fast Fourier Transform. z and Laplace transform. Differential equations. Impulse response. Transfer function and systems realization. Ideal and practical Sampling, Nyquists Theorem. Low-pass filters. State space representations. Stochastic signals analysis.

Use of ICT (English) Lecture presentation

Is it elective? Άγνωστο Ναι Όχι

Load within semester (Hours)

Lecture Hours

Lab Hours

Independent Study*

Project Work*

Lab Report*