Convolution property of the Fourier Transform
Recall from Chapter 23 that if $ x(t) $ is the input excitation to a circuit with an impulse function of $ h(t) $, then the output response $ y(t) $ is given by the convolution integral
If $ X(\omega), H(\omega) $, and $ Y(\omega) $ are the Fourier transforms of $ x(t), h(t) $, and $ y(t) $, respectively, then
which indicates that convolution in the time domain corresponds with multiplication in the frequency domain.
To derive the convolution property, we take the Fourier transform of both sides of Eq. (1) to get
Exchanging the order of integration and factoring $ h(\lambda) $, which does not depend on $ t $, we have
For the integral within the brackets, let $ \tau=t-\lambda $ so that $ t=\tau+\lambda $ and $ d t=d \tau $. Then,
as expected. This result expands the phasor method beyond what was done with the Fourier series in the previous chapter.
To illustrate the convolution property, suppose both $h(t)$ and $x(t)$ are identical rectangular pulses, as shown in Fig. 1(a) and 1(b). According to the convolution property, the product of the sinc functions should give us the convolution of the rectangular pulses in the time domain.
Thus, the convolution of the pulses in Fig. 1(e) and the product of the sinc functions in Fig. 1(f) form a Fourier pair.
In view of the duality property, we expect that if convolution in the time domain corresponds with multiplication in the frequency domain, then multiplication in the time domain should have a correspondence in the frequency domain. This happens to be the case. If $ f(t)=f_{1}(t) f_{2}(t) $, then
or
which is convolution in the frequency domain.
If we replace $ x(t) $ with the unit step function $ u(t) $ and $ h(t) $ with $ f(t) $ in Eq. (1), then
But by the definition of the unit step function,
We can write this as
Substituting this into Eq. (2) makes the interval of integration change from $ [-\infty, \infty] $ to $ [-\infty, t] $, and thus Eq. (2) becomes
Taking the Fourier transform of both sides yields
The Fourier transform of the unit step function is
Substituting this into Eq. (3) gives
Note that in Eq. (4), $ F(\omega) \delta(\omega)=F(0) \delta(\omega) $, since $ \delta(\omega) $ is only nonzero at $ \omega=0 $.
$$y(t)=h(t) * x(t)=\int_{-\infty}^{\infty} h(\lambda) x(t-\lambda) d \lambda \tag{1}$$
$$Y(\omega)=\mathcal{F}[h(t) * x(t)]=H(\omega) X(\omega)$$
To derive the convolution property, we take the Fourier transform of both sides of Eq. (1) to get
$$Y(\omega)=\int_{-\infty}^{\infty}\left[\int_{-\infty}^{\infty} h(\lambda) x(t-\lambda) d \lambda\right] e^{-j \omega t} d t$$
$$Y(\omega)=\int_{-\infty}^{\infty} h(\lambda)\left[\int_{-\infty}^{\infty} x(t-\lambda) e^{-j \omega t} d t\right] d \lambda$$
$$\begin{aligned}Y(\omega) &=\int_{-\infty}^{\infty} h(\lambda)\left[\int_{-\infty}^{\infty} x(\tau) e^{-j \omega(\tau+\lambda)} d \tau\right] d \lambda \\&=\int_{-\infty}^{\infty} h(\lambda) e^{-j \omega \lambda} d \lambda \int_{-\infty}^{\infty} x(\tau) e^{-j \omega \tau} d \tau=H(\omega) X(\omega)\end{aligned}$$
To illustrate the convolution property, suppose both $h(t)$ and $x(t)$ are identical rectangular pulses, as shown in Fig. 1(a) and 1(b). According to the convolution property, the product of the sinc functions should give us the convolution of the rectangular pulses in the time domain.
Fig. 1: Graphical illustration of the convolution property.
In view of the duality property, we expect that if convolution in the time domain corresponds with multiplication in the frequency domain, then multiplication in the time domain should have a correspondence in the frequency domain. This happens to be the case. If $ f(t)=f_{1}(t) f_{2}(t) $, then
$$F(\omega)=\mathcal{F}\left[f_{1}(t) f_{2}(t)\right]=\frac{1}{2 \pi} F_{1}(\omega) * F_{2}(\omega)$$
$$F(\omega)=\frac{1}{2 \pi} \int_{-\infty}^{\infty} F_{1}(\lambda) F_{2}(\omega-\lambda) d \lambda$$
$$\int_{-\infty}^{\infty} f(\lambda) u(t-\lambda) d \lambda=f(t) * u(t) \tag{2}$$
$$u(t-\lambda)=\left\{\begin{array}{ll}1, & t-\lambda > 0 \\0, & t-\lambda > 0\end{array}\right.$$
$$u(t-\lambda)=\left\{\begin{array}{ll}1, & \lambda < t \\0, & \lambda > t\end{array}\right.$$
$$\int_{-\infty}^{t} f(\lambda) d \lambda=u(t) * f(t)$$
$$\mathcal{F}\left[\int_{-\infty}^{t} f(\lambda) d \lambda\right]=U(\omega) F(\omega) \tag{3}$$
$$U(\omega)=\frac{1}{j \omega}+\pi \delta(\omega)$$
$$\begin{aligned}\mathcal{F}\left[\int_{-\infty}^{t} f(\lambda) d \lambda\right] &=\left(\frac{1}{j \omega}+\pi \delta(\omega)\right) F(\omega) \\&=\frac{F(\omega)}{j \omega}+\pi F(0) \delta(\omega)\end{aligned} \tag{4}$$
Be the first to comment here!

Do you have any questions?