Table of Fourier Transform Properties: Difference between revisions

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| Convolution ([[Ben Henry]]) || If <math>h(x)=\left(f*g\right)(x)</math>, becomes &thinsp; <math> \hat{h}(\xi)=\hat{f}(\xi)\cdot \hat{g}(\xi).</math>
| Convolution ([[Ben Henry]]) || If <math>h(x)=\left(f*g\right)(x)</math>, becomes &thinsp; <math> \hat{h}(\xi)=\hat{f}(\xi)\cdot \hat{g}(\xi).</math>
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| Scaling ([[Christopher Garrison Lau I|Chris Lau]]) || Given ''a'', which is non-zero and real, and <math>\ h(x)=f(ax) </math>, then <math>\hat{h}(\xi)=\frac{1}{|a|}\hat{f}\left(\frac{\xi}{a}\right)</math>. If ''a''=−1, then the time-reversal property states: if <math>\ h(x)=ƒ(−x)</math>, then <math>\hat{h}(\xi)=\hat{f}(-\xi)</math>.
| Scaling ([[Christopher Garrison Lau I|Chris Lau]]) || Given ''a'', which is non-zero and real, and <math>\ h(x)=f(ax) </math>, then <math>\hat{h}(\xi)=\frac{1}{|a|}\hat{f}\left(\frac{\xi}{a}\right)</math>. If ''a''=−1, then the time-reversal property states: if <math>\ h(x)=f(-x)</math>, then <math>\hat{h}(\xi)=\hat{f}(-\xi)</math>.
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| Linearity ([[Shepherd,Victor|Victor Shepherd]]) || <math>\mathcal{F}\{ax(t) + by(t)\} = a{F}\{x(t)\} + b{F}\{y(t)\}</math>
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Latest revision as of 21:45, 1 December 2010

Fourier Transform Properties
Property (contributor) Expanation
Convolution (Ben Henry) If , becomes  
Scaling (Chris Lau) Given a, which is non-zero and real, and , then . If a=−1, then the time-reversal property states: if , then .
Linearity (Victor Shepherd)