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Since the outputs don't match, the system is not time-invariant.
 
Since the outputs don't match, the system is not time-invariant.
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6 b) Since the system is linear, the input needed to yield Y[n] = u[n - 1] is X[n] = u[n].
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<math>X_k[n] = u[n - k] \rightarrow system \rightarrow Y_k[n] = (k + 1)^2 u[n - (k + 1)]</math>
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In this case k = 0.
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Therefore,
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<math>X_0[n] = u[n] \rightarrow system \rightarrow Y_0[n] = u[n - 1)]</math>

Latest revision as of 15:52, 11 September 2008

6 a) The system cannot be time-invariant.


$ X_k[n] = \delta[n - k] \rightarrow system \rightarrow Y_k[n] = (k + 1)^2 \delta[n - (k + 1)] $


Let us apply a time-delay of $ n_0 $ to the system.


System followed by time-delay:

$ \delta[n - k] \rightarrow system \rightarrow (k + 1)^2 \delta[n - (k + 1)] \rightarrow time-delay \rightarrow (k + 1)^2 \delta[n - n_0 -(k + 1)] = (k + 1)^2 \delta[n -(k + 1 +n_0)] $


Time-delay followed by system:

$ \delta[n - k] \rightarrow time-delay \rightarrow \delta[n-(k + n_0)] \rightarrow system \rightarrow (k + n_0 + 1)^2 \delta[n - (k + n_0 + 1)] $

Since the outputs don't match, the system is not time-invariant.


6 b) Since the system is linear, the input needed to yield Y[n] = u[n - 1] is X[n] = u[n].


$ X_k[n] = u[n - k] \rightarrow system \rightarrow Y_k[n] = (k + 1)^2 u[n - (k + 1)] $

In this case k = 0.

Therefore, $ X_0[n] = u[n] \rightarrow system \rightarrow Y_0[n] = u[n - 1)] $

Alumni Liaison

Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

Buyue Zhang