Lecture 23: Linear Systems: Basic Definitions
published: May 21, 2010, recorded: September 2007, views: 2923
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
The 21st century – I say this as a sweeping bold statement, but I stand by it. The 21st century may be the century of non-linearity. We don’t know yet, but non-linear problems are becoming increasingly more trackable because of computational techniques. One of the reasons why linear problems were studied so extensively and were so useful is because a lot can be done sort of theoretically even if you couldn’t compute. And then, of course, later on when computational techniques – computational power was there, then they became even more – they were able to be exploited even more. What I wanna get to is the connection between the Fourier Transform and linear systems, and that’s gonna be primarily along the lines – so we definitely wanna see how the Fourier Transform applies to linear systems, again in a fairly limited way. ...
See the whole transcript at The Fourier Transform and its Applications - Lecture 23
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !