Module 2 : Signals in Frequency Domain
Lecture 18 : The Convolution Theorem

Convolution between a periodic and an aperiodic signal

We now apply the Convolution theorem to the special case of convolution between a periodic and an aperiodic signal. (Note convolutions between periodic signals do not converge, we'll address that issue after this.)

Recall: If a periodic signal x(t) with period T obeys the Dirichlet conditions for a Fourier Series representation, then,

and its Fourier Transform is given by

If the convolution between x(t) and some Fourier Transformable aperiodic signal h(t) converges, lets see what the Fourier transform of x*h looks like (assuming it exists). Note x*h is also periodic with the same period as x(t) and its Fourier transform is also then expected to be a train of impulses.

By the convolution theorem, the Fourier Transform of x*h is:

implying, the Fourier series co-efficient of x*h is .


Therefore, assuming a periodic signal x(t) has a Fourier series representation, and an aperiodic signal h(t) is Fourier transformable, if x*h converges (and has a Fourier series representation), it is periodic with the same period as x(t) and its Fourier series coefficients are the Fourier series coefficients of x(t) multiplied by the value of H(f) at that multiple of the fundamental frequency. Click here to go to the TOP of the page