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This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Signals Systems knowledge and support exam preparation. Choose a topic below to get started.
1. |
COMMENT_ON_THE_STABILITY_OF_THE_FOLLOWING_SYSTEM,_Y[N]_=_(X[N-1])N.?$ |
A. | Stable |
B. | Unstable |
C. | Partially Stable |
D. | All of the mentioned |
Answer» B. Unstable | |
2. |
What_is_the_consequence_of_marginally_stable_systems?$ |
A. | The system will turn out to be critically damped |
B. | The system will be an overdamped system |
C. | It will be a damped system |
D. | Purely oscillatory system |
Answer» E. | |
3. |
Comment on the stability of the following system, y[n] = n*x[n-1]? |
A. | Stable |
B. | Unstable |
C. | Partially Stable |
D. | All of the mentioned |
Answer» C. Partially Stable | |
4. |
Is the system h(t) = exp(-t) stable? |
A. | Yes |
B. | No |
C. | Can’t say |
D. | None of the mentioned |
Answer» B. No | |
5. |
Is the system h(t) = exp(-jwt) stable? |
A. | Yes |
B. | No |
C. | Can’t say |
D. | None of the mentioned |
Answer» D. None of the mentioned | |
6. |
When a system is such that the square sum of its impulse response tends to infinity when summed over all real time space, |
A. | System is marginally stable |
B. | System is unstable |
C. | System is stable |
D. | None of the mentioned |
Answer» C. System is stable | |
7. |
For a bounded function, is the integral of the odd function from -infinity to +infinity defined and finite? |
A. | Yes |
B. | Never |
C. | Not always |
D. | None of the mentioned |
Answer» B. Never | |
8. |
For what values of k is the following system stable, y = (k2 – 3k -4)log(x) + sin(x)?$ |
A. | k=1,4 |
B. | k=2,3 |
C. | k=5,4 |
D. | k =4,-1 |
Answer» E. | |
9. |
State whether the integrator system is stable or not. |
A. | Unstable |
B. | Stable |
C. | Partially Stable |
D. | All of the mentioned |
Answer» B. Stable | |
10. |
Which of the following systems is stable? |
A. | y(t) = log(x(t)) |
B. | y(t) = sin(x(t)) |
C. | y(t) = exp(x(t)) |
D. | y(t) = tx(t) + 1 |
Answer» C. y(t) = exp(x(t)) | |