Lecture 18 | 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 continues the lecture on sampling and interpolation while discussing some of the phenomenon associated with it.

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
• formulas
• geometry
• algebra
• calculus
• technology
• functions
• linear
• operations
• sin
• cosin
• Fourier
• transformations
• series
• sampling
• formula
• proof
• interpolation
• band
• limit
• periodize

[jonasserych]

@phirseatthi For me, the main consequence of that fact is that I don't have to remember the formula... It's trivial to memorize the first step of derivation and it's also trivial to derive the formula from it... Math isn't based on blind applying of formulas...

[phirseatthi]

I do not see why it is important to emphasize that "the formula is the same as its derivation" every time we invoke the formula. What part of that fact (the one in quotes) helps me decide whether to apply the formula or not?