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Fourier Transform and its Applications - Lecture 20

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Lecture 20 - Discrete Complex Exponential Vector

Review: Definition Of The DFT, Sample Points, Relationship Between N And Spacing In Time/Frequency, Complex Exponentials In The Discrete DFT, DFT Written With Discrete Complex Exponential Vector, Periodicity Of Inputs And Outputs In The DFT (More On This In Next Lecture), Orthogonality Of The Vector Of Discrete Complex Exponentials, Note On Orthonormality Of Discrete Complex Exponential Vector (Or Lack Thereof), Consequence Of Orthogonality: Inverse DFT

Prof. Brad G Osgood
The Fourier Transform and its Applications EE261
(Stanford University: Stanford Engineering Everywhere)
Date accessed: 2009-09-24
License: Creative Commons Attribution 3.0

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