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The key to evaluating a convolution integral such as

x ( t ) * h ( t ) = - x ( τ ) h ( t - τ ) d τ

is to realize that as far as the integral is concerned, the variable t is a constant and the integral is over the variable τ . Therefore, for each t , we are finding the area of the product x ( τ ) h ( t - τ ) . Let's look at an example that illustrates how this works.

Example 3.1 Find the convolution of x ( t ) = u ( t ) and h ( t ) = e - t u ( t ) . The convolution integral is given by

h ( t ) * x ( t ) = - e - τ u ( τ ) u ( t - τ ) d τ

[link] shows the graph of e - τ u ( τ ) , e - t u ( t ) , and their product. From the graph of the product, it is easy to see the the convolution integral becomes

0 t e - τ d τ = 1 - e - t , t 0 0 , t < 0
Graphs of signals used in Example [link] .

Signals which can be expressed in functional form should be convolved as in the above example. Other signals may not have an easy functional representation but rather may be piece-wise linear. In order to convolve such signals, one must evaluate the convolution integral over different intervals on the t -axis so that each distinct interval corresponds to a different expression for x ( t ) * h ( t ) . The following example illustrates this:

Example 3.2 Suppose we attempt to convolve the unit step function x ( t ) = u ( t ) with the trapezoidal function

h ( t ) = t , 0 t < 1 1 , 1 t < 2 0 , elsewhere

From [link] , it can be seen that on the interval 0 t < 1 , the product x ( t - τ ) h ( τ ) is an equilateral triangle with area t 2 / 2 . On the interval 1 t < 2 , the area of x ( t - τ ) h ( τ ) is t - 1 / 2 . This latter area results by adding the area of an equilateral triangle having a base of 1, and the area of a rectangle having a base of t - 1 and a height of 1. For all values of t greater than 2, the convolution is 1.5 since x ( t - τ ) h ( τ ) = h ( τ ) and h ( τ ) is a trapezoid having an area of 1.5. Finally, for t < 0 , the convolution is zero since x ( t - τ ) h ( τ ) = 0 .

Graphs of signals used in Example [link] .

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Source:  OpenStax, Signals, systems, and society. OpenStax CNX. Oct 07, 2012 Download for free at http://cnx.org/content/col10965/1.15
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