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Continuous Time Convolution Properties | Continuous Time Signal

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Continuous Time Convolution

For linear time-invariant (LTI) systems, the convolution is being utilized in order to achieve output response from the knowledge of input and impulse response.

Given two continuous-time signals x(t) and h(t), the convolution is defined as

$y\left( t \right)=\sum\limits_{\tau =-\infty }^{\infty }{x\left( \tau  \right)h\left( t-\tau  \right)d\tau }~~~~~~~~~~~~~~~~~~~~~~~~\left( 1 \right)$

The integral defined in above equation is an important and fundamental equation in the study of the linear system; it is called the convolution integral. Because it is so often used, it has been given a special shorthand representation;

It should be noted that convolution integral exists when x(t) and h(t) are both zero for all integers t <0. If x(t) and h(t) are zero for all integers t<0, then x(𝞃)=0 for all integers 𝞃<0 and h(t-𝞃) =0 for all integers t-𝞃<0. Thus the integral on 𝞃 in equation (1) may be taken from 𝞃=0 to 𝞃=t, and the convolution operation is given by;

$x\left( t \right)*h\left( t \right)=\left\{ \begin{matrix}  0,~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~t=-1,-2,\ldots   \\   \underset{0}{\overset{t}{\mathop \int }}\,x\left( \tau  \right)h\left( t-\tau\right)~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~t=0,1,2,\ldots ~~~~~~~~~~\left( 2 \right)~~~~~~~  \\\end{matrix} \right.$

Since the integral in equation (2) is over the finite range of integers (𝞃=0 to 𝞃=t), the convolution integral exists. Hence, any two signals that are zero for all integers t<0 can be convolved.

Continuous-Time Convolution Properties

The convolution mapping possesses a number of important properties, among those are:

Commutative Property

If x(t) is a signal  and  h(t) and impulse response, then

commutative property

An LTI system output with input x(t) and impulse response h (t) is same as an LTI system output with input h(t) and impulse response x(t).

Associative Property

If x(t) is a signal and h1(t) and h2(t) are impulse responses, then

Associative Property

The order of convolution is not important.                     

Distributive Property

If x(t) is signal and h1(t) and h2(t) are impulse responses, then

Distributive Property

LTI systems parallel combination can be substituted with a single LTI system whose unit impulse response is the summation of the separate unit impulse responses in the parallel combination.

 

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About Ahmad Faizan

Mr. Ahmed Faizan Sheikh, M.Sc. (USA), Research Fellow (USA), a member of IEEE & CIGRE, is a Fulbright Alumnus and earned his Master’s Degree in Electrical and Power Engineering from Kansas State University, USA.

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