UE Signals and systems

The aim of the course is to provide the basic mathematical tools to study continuous and discrete signals and linear time-invariant systems using SciPy.

Outline:

1. Introduction
2. Discrete mathematical tools
3. Discrete Linear time-invariant systems
4. Discrete filters design
5. Continuous mathematical tools
6. Continuous Linear time-invariant systems
7. Analog filter design
8. Sampling theory

Basic mathematical knowledge (integral, differentiation, complex numbers,. . . )

1. Oppenheim, A. V., Willsky, A. S., & Young, I. T. (1983). Signals and systems. Englewood Cliffs, N.J Prentice-Hall.
2. Najarian, K., & Splinter, R. (2012). Biomedical signal and image processing. Taylor & Francis.