The convolution of two signals ()={1,2,3} and ℎ()={3,2,1} is equal to
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Explanation:
Convolution
Convolution is a mathematical operation used to express the relation between input and output of an LTI system. It relates input, output and impulse response of an LTI system as
y(t)=x(t)∗h(t)y(t)=x(t)∗h(t)
Where y (t) = output of LTI
x (t) = input of LTI
h (t) = impulse response of LTI
There are two types of convolutions:
Continuous convolution
Discrete convolution
Continuous Convolution

y(t)=x(t)∗h(t)y(t)=x(t)∗h(t)
=∫∞−∞x(τ)h(t−τ)dτ=∫−∞∞x(τ)h(t−τ)dτ
(or)
=∫∞−∞x(t−τ)h(τ)dτ=∫−∞∞x(t−τ)h(τ)dτ
Discrete Convolution

y(n)=x(n)∗h(n)y(n)=x(n)∗h(n)
=Σ∞k=−∞x(k)h(n−k)=Σk=−∞∞x(k)h(n−k)
(or)
=Σ∞k=−∞x(n−k)h(k)=Σk=−∞∞x(n−k)h(k)
By using convolution we can find zero state response of the system.
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