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<math>\delta[n - k] \to sys \to (k + 1)^2 \delta[n - (k + 1)] \to timedelay \to (k + 1)^2 \delta[n - t_0 -(k + 1)] = (k + 1)^2 \delta[n -(k + 1 +t_0)]  </math>
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<math>\delta[n - k] \to sys \to (k + 1)^2 \delta[n - (k + 1)] \to timedelay \to (k + 1)^2 = (k + 1)^2 \delta[n -(k + 1 +t_0)]  </math>
  
  
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'''For the system to be time invariant both the outputs should be same but they are not. so the system is not time variant it is rather a time variant system as the output varies with time.'''
 
'''For the system to be time invariant both the outputs should be same but they are not. so the system is not time variant it is rather a time variant system as the output varies with time.'''
  
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'''6.b)'''
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Assumed that the system given is linear, then '''X[n]=u[n]''' is the input to yield the output''' Y[n] = u[n-1].
 
'''
 
'''
6.b)'''
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since u[n] is simply the summation of shifted delta functions we can say that
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<math> X_k[n]= \ u[n] = \delta[n]- \delta[n - N]</math>
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substituting k = 0 and N = 1 in the above equation will give the output Y'''[n] =u[n − 1]''' after the input X[n] goes through the system.

Latest revision as of 14:34, 12 September 2008

Linearity and Time Invariance

6.a)

the system is defined as

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

let us check for time invariance

System followed by time delay

now,let us apply a time-delay of $ t_0 $ to the system.


$ \delta[n - k] \to sys \to (k + 1)^2 \delta[n - (k + 1)] \to timedelay \to (k + 1)^2 = (k + 1)^2 \delta[n -(k + 1 +t_0)] $


Time-delay followed by system:

$ \delta[n - k] \to timedelay \to \delta[n-(k + t_0)] \to sys \to (k + t_0 + 1)^2 \delta[n - (k + t_0 + 1)] $

For the system to be time invariant both the outputs should be same but they are not. so the system is not time variant it is rather a time variant system as the output varies with time.

6.b)

Assumed that the system given is linear, then X[n]=u[n] is the input to yield the output Y[n] = u[n-1]. since u[n] is simply the summation of shifted delta functions we can say that

$ X_k[n]= \ u[n] = \delta[n]- \delta[n - N] $

substituting k = 0 and N = 1 in the above equation will give the output Y[n] =u[n − 1] after the input X[n] goes through the system.

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