Lecture 6 | The Fourier Transforms and its Applications

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood picks up where he left off last lecture on Fourier Transformations, then he launches into a more formal treatment of Fourier transforms and explains how to proceed.

The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems.

Complete Playlist for the Course:
http://www.youtube.com/view_play_list?p=B24BC7956EE040CD

EE 261 at Stanford University:
http://eeclass.stanford.edu/ee261/

Stanford University:
http://www.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Category:

Education

Tags:

• Electrical
• engineering
• computers
• math
• physics
• geometry
• algebra
• calculus
• technology
• functions
• linear
• operations
• Fourier
• transformations
• series
• coefficient
• limiting
• case
• periodize
• constituent
• parts
• Fourie
• inversion
• synthesis
• sinc

[sikory]

"Do you like integration by parts? I do." lol, i laughed really hard at 44:05

[Naam19]

Prof Osgood is very good.

[devnullnor]

"This is so good. It's better than sex! Not that I'd know, I was a math major." LOL!

[grunder20]

Osgood is worth the wait. Great man.

[PeaceAndGloryMB]

@cartmansuperstar I think so too - just Integral g(s) ds.

[cartmansuperstar]

in the formula he writes down at 24:11: shouldn´t the integrand just be g(s) so that the "cursive F" should be omitted here ?

[ibreakkidslegs]

@laserbruce more dire a problem in my opinion is that the cardinality of the real line is greater than that of the set of all points spaced 1/T apart, so there will always be a huge gap when trying to cover up the real line with these points