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UE Signals and systems

Degrees incorporating this pedagocial element :

Description

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

Syllabus

  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.

Recommended prerequisite

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