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Published byMargrete Mortensen Modified over 5 years ago
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From Chapter 2, we have ( II ) Proof is shown next
This property is known as “convolution” (الإلتواء التفاف ) Proof is shown next
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Proof Define the pulse of width D as
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We now can approximate the function In terms of the pulse function
Approximation
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This integral is called the convolution
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Another proof for Sifting properties
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Linear –Time Invariant
Impulse Input Impulse response Shifted Impulse Input Shifted Impulse Response
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Linear –Time Invariant
Convolution Integral
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constant with respect to t
Linear –Time Invariant constant with respect to t Integration with respect to l Operator with respect to t
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Example 2-7 Moving Fix
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Sep 1 : make the functions or signals in terms of the variable l
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Sep 2 : make the moving function in terms of -l
Sep 2 : add t to to form ( t- l) Moving to the right
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For t ≤ 4 there is no overlapping between the functions
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For t ≥ 10 For t ≥ 10 there is no overlapping between the functions
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TO be down
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2.6 Superposition Integral “convolution” in terms of step response
Impulse response Now if the input is a step function, step response step response
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Objective is to write y(t) in terms of the step response a(t)
Now if the input is x(t) , The output in terms of the impulse response h(t) Objective is to write y(t) in terms of the step response a(t)
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Now if the input is x(t) , Integrating by parts , step response
Over dot denotes differentiation
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Now we can write y(t) in terms of the step response a(t)
Integrating by parts , Now we can write y(t) in terms of the step response a(t)
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The system is initially unexcited
and
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In term of impulse response
In term of step response Note
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Objective is the ramp response b(t)
Impulse input Impulse response step response Step input Ramp response Ramp input Objective is the ramp response b(t)
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Now if x(t) is the ramp r(t)
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Impulse input Step input Ramp input
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To be Done From the notes RC circuit - DFE X(t) = impulse h(t) X(t) is switch u(t) a(t) X(t) is ramp r(t) b(t) X(t) is X(t) = r(t)-2r(t-1)+r(t-2) BIBO condition
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