Is this signal linear, time variant?

In summary, the signal y[n] = x[-n] + 2 is not linear because y3[n] != a*y1[n] + b*y2[n], and it is time invariant because the output remains the same regardless of when the input is delayed or advanced in time.
  • #1
Larrytsai
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0

Homework Statement



y[n] = x[-n] + 2Is this signal linear?

for signal to be linear,
y3[n] = a*y1[n] + b*y2[n] IF x3[n] = a*x1[n] + b*x2[n]
--------------------------------------------------------------
x1[n] -> y1[n] = x1[-n] + 2
x2[n] -> y2[n] = x2[-n] + 2

x3[n] = a*x1[n] + b*x2[n]

y3[n] = x3[-n] + 2
= a*x1[-n] + b*x2[-n] + 2

y3[n] != a*y1[n] + b*y2[n] = a*x1[-n] + b*x2[-n] + 4

Hence not linear...

Is this signal time invariant?

for signal to be time invariant, if we delay the signal before it enters the system, the signal should be the same as if the signal enters the signal and delays it. *Not sure if this is correct.

so if i delay the signal before it enters the system, we have

y[n] = x[-(n-n0)] + 2

delay after it leaves the system

w[n] = x[-n-n0] + 2

Hence is time varying.can you guys kindly check if my work is correct, and if it is wrong explain what concept I have broken?

thanks.
 
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  • #2


Your reasoning for the signal not being linear is correct. However, your reasoning for the signal being time varying is incorrect. Time varying means that the system is dependent on time, meaning that the output will vary if the input is delayed or advanced in time. In this case, the output will remain the same regardless of when the input is delayed or advanced. Therefore, the signal is time invariant.
 

FAQ: Is this signal linear, time variant?

1. Is it possible for a signal to be both linear and time variant?

Yes, it is possible for a signal to be both linear and time variant. A linear signal means that it follows the principle of superposition, where the output is a scaled version of the input. Time variation refers to how the signal changes over time. A signal can be linear in one aspect (such as amplitude) but time variant in another aspect (such as phase).

2. How can we determine if a signal is linear or time variant?

A signal can be tested for linearity by using the principle of superposition. If the output is a scaled version of the input, then the signal is linear. To test for time variation, the signal can be checked at different time points to see if the output changes with time. If the output changes, then the signal is time variant.

3. What is the significance of knowing if a signal is linear or time variant?

Knowing the linearity and time variation of a signal is important in understanding how the signal will behave and how it can be manipulated. For example, linear signals can be easily filtered and processed, while time variant signals may require more complex techniques.

4. Can a signal change from being linear to non-linear?

Yes, a signal can change from being linear to non-linear. This can happen if the input signal becomes too large or if the system that is processing the signal becomes saturated. In these cases, the output may no longer be a scaled version of the input, indicating non-linearity.

5. Is there a way to convert a non-linear signal into a linear one?

It is not possible to convert a non-linear signal into a linear one. Non-linear signals have a different behavior and cannot be simply scaled or manipulated like linear signals. However, non-linear signals can be approximated to be linear within a certain range or using specific techniques such as linearization methods.

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