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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 parsevalโs theorem.
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and its applications
..., 3 , 2 , 1 , 0 , 1 , 2 , 3 ,...
( ) = โ โ โ
= โ n
hn h n = (^) N โ f (^) n n 2 ,..., 2 n =โ N^ N
[ ] [ ]
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
โ โโ = โ
= โ โ
โ^ [^ ]
โก
1 0
exp 2 /
N k
Hn hk ฯ ikn N H ( fn ) โ โ Hn
= โ
1 0
(^1) exp 2 / N k (^) n n H ikn N N h ฯ