Convolution and The Fourier Transform.
The convolution can be obtained in the time domain via the
convolution integral and in the frequency domain by taking the
inverse Fourier Transform of the product of the spectra of the
The applet below compares the convolution obtained in the time and
frequency domains. Fn changes the function, a and b changes the
shape of the function and wr changes the
range of the integration used for the inverse Fourier transform.
eg below compares the convolution obtained via the time and
frequency domains when Fn = 1.
Convolution can sometimes be used to simplify the process of finding the Fourier Transform
(FT) of a pulse in cases where the pulse can be written as the product of 2 functions and
the FT of both is known. According to the convolution theorem the FT of the product function
is the convolution of the spectra of the 2 multiplying functions.
Consider the cosine pulse shown in magenta above. This is the product of a cosine (shown in
dashed red) and a triangular pulse(shown in dashed blue). The spectrum of a cosine is 2
delta functions at ±(cosine frequency) and the spectrum of the triangular pulse is the
sinc2 function centered at the origin. The spectrum of the cosine pulse is the
convolution of the 2 spectra.
The plot above shows the spectrum of the cosine in dashed red, that of the triangular pulse
in dashed blue and the spectrum of the cosine pulse in magenta which is obtained by
convolving the 2 dashed ones.
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COPYRIGHT © 1999, 2010 Cuthbert A. Nyack.