Signals and Systems

Description

The study of computer vision, graphics and robotics requires background in the concept of discrete signals, filtering, and elementary linear systems theory. Discrete signals are obtained by sampling continuous signals. Starting with a continuous time signal, students will review the concept of a discrete signal, the conditions under which a continuous signal is completely represented by its discrete version, and discuss the analysis and design of linear time-invariant systems. In particular, frequency selective filters in both discrete and continuous time domain will be developed. An accompanying lab will cover applications of the concepts covered in the lectures to practical problems such as speech and image processing.

The following topics will be covered

Course Learning Outcomes

After successful completion of the course, students should be able to:

Course Contacts

Textbook

Lectures

Labs