Lecture 3: Signals and Systems

author: Dennis Freeman, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
recorded by: Massachusetts Institute of Technology, MIT
published: Feb. 4, 2013,   recorded: January 2011,   views: 5087
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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Description

Any model of the world we want to study, that we address as a system, we also probably want to observe in some way (this is probably the reason we made the model in the first place). The information we choose to observe is the signal. Based on what we know about different kinds of signals and systems, we can choose what information to collect as a signal, and make effective long-term predictions about our system based on that signal.

The overview handout provides a more detailed introduction, including the big ideas of the session, key vocabulary, what you should understand (theory) and be able to do (practice) after completing this session, and additional resources.

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