Module 1 : Signals in natural domain
Lecture 9 : Continuous LTI Systems
 

Convolution Operation

               

We now interpret the convolution (x*h)(t) as the common (shaded) area enclosed under the curves x(v) and h(t-v) as v varies over the entire real axis.

x(v) is the given input function, with the independent variable now called v. h(t-v) is the impulse response obtained by inverting h(v) and then shifting it by t units on the v-axis.

As t increases clearly h(t-v) can be considered to be a train moving towards the right,  and at each point on the v-axis, the area under the product x(v) and h(t-v) is the value of y(t) at that t.

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