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We are told that a system is linear and given inputs
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<math>\,x_1(t)=e^{2jt}\,</math> yields <math>\,y_1(t)=te^{-2jt}\,</math>
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<math>\,x_2(t)=e^{-2jt}\,</math> yields <math>\,y_2(t)=te^{2jt}\,</math>
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The input
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<math>\,x(t)=\cos(2t)\,</math>
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can be rewritten as
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<math>\,x(t)=\frac{e^{2jt}+e^{-2jt}}{2}\,</math>
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<math>\,x(t)=\frac{1}{2}e^{2jt}+\frac{1}{2}e^{-2jt}\,</math>
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<math>\,x(t)=\frac{1}{2}x_1(t)+\frac{1}{2}x_2(t)\,</math>
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Since the system is linear, and by the definition of linearity, we can write the response as
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<math>\,y(t)=\frac{1}{2}y_1(t)+\frac{1}{2}y_2(t)\,</math>
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<math>\,y(t)=\frac{1}{2}te^{-2jt}+\frac{1}{2}te^{2jt}\,</math>
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<math>\,y(t)=t(\frac{e^{2jt}+e^{-2jt}}{2})\,</math>
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<math>\,y(t)=t\cos(2t)\,</math>
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== Comments on Other Answers ==
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[[Talk:HW3.B Ben Laskowski_ECE301Fall2008mboutin]]

Latest revision as of 18:35, 17 September 2008

We are told that a system is linear and given inputs

$ \,x_1(t)=e^{2jt}\, $ yields $ \,y_1(t)=te^{-2jt}\, $

$ \,x_2(t)=e^{-2jt}\, $ yields $ \,y_2(t)=te^{2jt}\, $


The input

$ \,x(t)=\cos(2t)\, $

can be rewritten as

$ \,x(t)=\frac{e^{2jt}+e^{-2jt}}{2}\, $

$ \,x(t)=\frac{1}{2}e^{2jt}+\frac{1}{2}e^{-2jt}\, $

$ \,x(t)=\frac{1}{2}x_1(t)+\frac{1}{2}x_2(t)\, $


Since the system is linear, and by the definition of linearity, we can write the response as

$ \,y(t)=\frac{1}{2}y_1(t)+\frac{1}{2}y_2(t)\, $

$ \,y(t)=\frac{1}{2}te^{-2jt}+\frac{1}{2}te^{2jt}\, $

$ \,y(t)=t(\frac{e^{2jt}+e^{-2jt}}{2})\, $

$ \,y(t)=t\cos(2t)\, $

Comments on Other Answers

Talk:HW3.B Ben Laskowski_ECE301Fall2008mboutin

Alumni Liaison

Sees the importance of signal filtering in medical imaging

Dhruv Lamba, BSEE2010