Signal and Systems
General
Code: ΥΠ06
Language: Greek
Delivery: Face-to-face
Prerequisites: Complex numbers and integrals
Workload
- Lectures: 39.0 hours
- Lab: 0.0 hours
- Study: 61.0 hours
- Project: 25.0 hours
Course Content
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.
Learning Outcomes
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.
Skills
Independent work
Team work
Promoting free, creative and deductive thought
