Fourier Transforms: Definition, Applications, and Properties, Slides of Electrical Engineering

An introduction to fourier transforms, their mathematical definition, applications in various fields such as x-ray diffraction, electron microscopy, spectroscopy, image processing, and more. It also covers the properties of fourier transforms including the convolution theorem, correlation theorem, wiener-khinchin theorem, and parsevalโ€™s theorem.

Typology: Slides

2012/2013

Uploaded on 03/23/2013

dhrupad
dhrupad ๐Ÿ‡ฎ๐Ÿ‡ณ

4.4

(17)

213 documents

1 / 48

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Fourier Transform
and its applications
Docsity.com
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24
pf25
pf26
pf27
pf28
pf29
pf2a
pf2b
pf2c
pf2d
pf2e
pf2f
pf30

Partial preview of the text

Download Fourier Transforms: Definition, Applications, and Properties and more Slides Electrical Engineering in PDF only on Docsity!

Fourier Transform

and its applications

Fourier Transforms are used in

  • X-ray diffraction
  • Electron microscopy (and diffraction)
  • NMR spectroscopy
  • IR spectroscopy
  • Fluorescence spectroscopy
  • Image processing
  • etc. etc. etc. etc.

Fourier Transforms

  • Different representation of a function
    • time vs. frequency
    • position (meters) vs. inverse wavelength
  • In our case:
    • electron density vs. diffraction pattern

Discrete Fourier Transforms

  • Function sampled at N discrete points
    • sampling at evenly spaced intervals
    • Fourier transform estimated at discrete values:
    • e.g. Images
  • Almost the same symmetry properties as the continuous Fourier transform

..., 3 , 2 , 1 , 0 , 1 , 2 , 3 ,...

( ) = โˆ’ โˆ’ โˆ’

= โˆ† n

hn h n = (^) N โˆ† f (^) n n 2 ,..., 2 n =โˆ’ N^ N

DFT formulas

[ ] [ ]

h [ ikn N ]

H f h t if t dt h if t N k k

n n

N n n k k

exp 2 /

( ) ( )exp 2 exp 2 1 0

1 0 ฯ€

ฯ€ ฯ€

โˆ’

โˆ’

โˆž โˆ’โˆž = โˆ†

= โ‰ˆ โˆ†

โˆ‘^ [^ ]

โˆ’

โ‰ก

1 0

exp 2 /

N k

Hn hk ฯ€ ikn N H ( fn ) โ‰ˆ โˆ† Hn

โˆ‘^ [^ ]

โˆ’

= โˆ’

1 0

(^1) exp 2 / N k (^) n n H ikn N N h ฯ€