Difference between revisions of "Dictionary:Convolution theorem"
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=== Convolution in the Frequency domain === | === Convolution in the Frequency domain === | ||
− | Similarly, multiplication in the time domain may be interpreted as convolution in the frequency domain, to within a constant factor. | + | Similarly, multiplication in the time domain may be interpreted as convolution in the frequency domain, to within a constant factor. Such |
+ | a frequency domain convolution representation is useful if we were interested in finding the Fourier transform of the product of functions | ||
+ | of known Fourier transform. | ||
Paralleling the derivation above, we write the convolution in the frequency domain | Paralleling the derivation above, we write the convolution in the frequency domain | ||
− | <center> <math> (F \star G )(\omega) = | + | <center> <math> (F \star G )(\omega) = \int_{-\infty}^{\infty}F(\Omega) G(\omega - \Omega) \; d \Omega </math> </center> |
− | + | As above, we substitute the Fourier representations of <math> F(\omega) </math> and <math> G(\omega) </math> | |
<center><math> F(\Omega) = \int_{-\infty}^{\infty} f(t) e^{i \Omega t} \; d t </math> </center> | <center><math> F(\Omega) = \int_{-\infty}^{\infty} f(t) e^{i \Omega t} \; d t </math> </center> | ||
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<center> <math> (F \star G) (\omega) = (2 \pi) \int_{-\infty}^{\infty} f(t) g(t) e^{i \omega t } \; dt </math> </center> | <center> <math> (F \star G) (\omega) = (2 \pi) \int_{-\infty}^{\infty} f(t) g(t) e^{i \omega t } \; dt </math> </center> | ||
− | + | There is an extra factor of <math> 2 \pi. </math> Thus, if we were representing the Fourier transform of the product <math> f(t)g(t) </math> | |
− | + | of the functions as the Frequency domain convolution of the respective Fourier transforms of <math> f(t) </math> and <math> g(t), </math> we | |
+ | would need to include a factor of <math> 1/2 \pi </math> in the convolution | ||
<center> <math> \frac{1}{2 \pi}(F \star G )(\omega) = \int_{-\infty}^{\infty}f(t) g(t) e^{i \omega t } \; dt. </math> </center> | <center> <math> \frac{1}{2 \pi}(F \star G )(\omega) = \int_{-\infty}^{\infty}f(t) g(t) e^{i \omega t } \; dt. </math> </center> |
Revision as of 12:12, 6 December 2016
The Fourier transform of the convolution of two functions is equal to the product of their individual transforms (or multiplying their amplitude spectra and summing their phase spectra). See Figures F-20 and F-22.
Integral definition
The process of convolution of two functions and is defined in one dimension, as
Fourier domain equivalent
We may replace and by their Fourier domain representations
and
where and are the Fourier transforms of and respectively.
Substituting these representations into the original integral representation of convolution yields
We may rearrange the order of integrations
Recognizing the factor in as the frequency domain representation of the Dirac delta function,
permits us to write the equivalent expression
The integral may be performed, exploiting the sifting property of the delta function to convert the to yields the equivalence of multiplication in the frequency domain to convolution in the time domain
Convolution in the Frequency domain
Similarly, multiplication in the time domain may be interpreted as convolution in the frequency domain, to within a constant factor. Such a frequency domain convolution representation is useful if we were interested in finding the Fourier transform of the product of functions of known Fourier transform.
Paralleling the derivation above, we write the convolution in the frequency domain
As above, we substitute the Fourier representations of and
and
As in the derivation above, we substitute the Fourier representations of and and rearrange the terms to yield
We recognize the term in as the Fourier form of the Dirac delta function
As before, we apply the sifting property of the delta function, in this case to perform the integration to yield
There is an extra factor of Thus, if we were representing the Fourier transform of the product of the functions as the Frequency domain convolution of the respective Fourier transforms of and we would need to include a factor of in the convolution