(Time Invariant System?)
 
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=Time Invariant System?=
 
=Time Invariant System?=
Suppose the system is defined as the third line where input is <math>X_2[n]= dirac[n-2]</math> and output: <math>Y_2[n]=9 dirac[n-3]</math> with a time delay of . Using the same method as in Part D, we can determine whether this system is time invariant or not.
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Suppose the system is defined as the third line where input is <math>X_2[n]= dirac[n-2]</math> and output: <math>Y_2[n]=9 dirac[n-3]</math> with a time delay of 2 seconds.
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Using the system then time delay method:
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dirac[n-2] -> SYSTEM -> 9 dirac[n-3] -> Time Delay -> 9 dirac[n-5]
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Using the time delay then system method:
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dirac[n-2] -> Time Delay -> dirac[n-4] -> SYSTEM -> 25 dirac[n-6]
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Because the two outputs are not the same, the system is not time-invariant.
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=Necessary Input to Yield u[n-1]=
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In order to obtain <math>u[n-1]</math> as the output instead of a delta function, the desired input would simply be <math>X_0 = u[n]</math>.

Latest revision as of 13:56, 12 September 2008

Linearity and Time Invariance

Given system:

Input Output

X0[n]=δ[n] -> Y0[n]=δ[n-1]

X1[n]=δ[n-1] -> Y1[n]=4δ[n-2]

X2[n]=δ[n-2] -> Y2[n]=9 δ[n-3]

X3[n]=δ[n-3] -> Y3[n]=16 δ[n-4]

... -> ...

Xk[n]=δ[n-k] -> Yk[n]=(k+1)2 δ[n-(k+1)] -> For any non-negative integer k


Time Invariant System?

Suppose the system is defined as the third line where input is $ X_2[n]= dirac[n-2] $ and output: $ Y_2[n]=9 dirac[n-3] $ with a time delay of 2 seconds.


Using the system then time delay method:

dirac[n-2] -> SYSTEM -> 9 dirac[n-3] -> Time Delay -> 9 dirac[n-5]


Using the time delay then system method:

dirac[n-2] -> Time Delay -> dirac[n-4] -> SYSTEM -> 25 dirac[n-6]

Because the two outputs are not the same, the system is not time-invariant.


Necessary Input to Yield u[n-1]

In order to obtain $ u[n-1] $ as the output instead of a delta function, the desired input would simply be $ X_0 = u[n] $.

Alumni Liaison

Prof. Math. Ohio State and Associate Dean
Outstanding Alumnus Purdue Math 2008

Jeff McNeal