MCQOPTIONS
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MCQOPTIONS
This section includes 19 Mcqs, each offering curated multiple-choice questions to sharpen your Digital Signal Processing knowledge and support exam preparation. Choose a topic below to get started.
| 1. |
If the set of linear equations from the equation \(\sum_{k=0}^M b_k r_{hh} (k-l)=r_{dh} (l)\), l=0,1,…M are expressed in matrix form, then what is the type of matrix obtained? |
| A. | Symmetric matrix |
| B. | Skew symmetric matrix |
| C. | Toeplitz matrix |
| D. | Triangular matrix |
| Answer» D. Triangular matrix | |
| 2. |
What should be the desired response for an optimum wiener filter to be an approximate inverse filter? |
| A. | u(n) |
| B. | δ(n) |
| C. | u(-n) |
| D. | none of the mentioned |
| Answer» C. u(-n) | |
| 3. |
FIR filter that satisfies \(\sum_{k=0}^M b_k r_{hh} (k-l)=r_{dh} (l)\), l=0,1,…M is known as wiener filter. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 4. |
Which of the following are required to minimize the value of ε? |
| A. | rhh(l) |
| B. | rdh(l) |
| C. | d(n) |
| D. | all of the mentioned |
| Answer» E. | |
| 5. |
The auto correlation of the sequence is required to minimize ε. |
| A. | True |
| B. | False |
| Answer» B. False | |
| 6. |
Which of the following filters have a block diagram as shown in the figure? |
| A. | Pade wiener filter |
| B. | Pade FIR filter |
| C. | Least squares FIR filter |
| D. | Least squares wiener filter |
| Answer» E. | |
| 7. |
If H(z) is the system function of an LTI system and HI(z) is the system function of the inverse LTI system, then which of the following is true? |
| A. | H(z)*HI(z)=1 |
| B. | H(z)*HI(z)=δ(n) |
| C. | H(z).HI(z)=1 |
| D. | H(z).HI(z)=δ(n) |
| Answer» D. H(z).HI(z)=δ(n) | |
| 8. |
If h(n) is the impulse response of an LTI system and hI(n) is the impulse response of the inverse LTI system, then which of the following is true? |
| A. | h(n).hI(n)=1 |
| B. | h(n).hI(n)=δ(n) |
| C. | h(n)*hI(n)=1 |
| D. | h(n)*hI(n)=δ(n) |
| Answer» E. | |
| 9. |
WHICH_OF_THE_FOLLOWING_ARE_REQUIRED_TO_MINIMIZE_THE_VALUE_OF_‚ÂÀ√≠¬¨¬µ??$# |
| A. | r<sub>hh</sub>(l) |
| B. | r<sub>dh</sub>(l) |
| C. | d(n) |
| D. | All of the mentioned |
| Answer» E. | |
| 10. |
What should be the desired response for an optimum wiener filter to be an approximate inverse filter?$ |
| A. | u(n) |
| B. | δ(n) |
| C. | u(-n) |
| D. | None of the mentioned |
| Answer» C. u(-n) | |
| 11. |
What is the number of computations proportional to, in Levinson-Durbin algorithm? |
| A. | M |
| B. | M<sup>2</sup> |
| C. | M<sup>3</sup> |
| D. | M<sup>1/2</sup> |
| Answer» C. M<sup>3</sup> | |
| 12. |
The auto correlation of the sequence is required to minimize ε?# |
| A. | True |
| B. | False |
| Answer» B. False | |
| 13. |
Which of the following criterion can be used to optimize the M+1 filter coefficients? |
| A. | Pade approximation method |
| B. | Least squares error criterion |
| C. | Both of the mentioned |
| D. | None of the mentioned |
| Answer» C. Both of the mentioned | |
| 14. |
What should be the length of the truncated filter? |
| A. | M |
| B. | M-1 |
| C. | M+1 |
| D. | Infinite |
| Answer» D. Infinite | |
| 15. |
Which of the following method is used to restrict the inverse filter to be FIR? |
| A. | Truncating h<sub>I</sub>(n) |
| B. | Expanding h<sub>I</sub>(n) |
| C. | Truncating H<sub>I</sub>(z) |
| D. | None of the mentioned |
| Answer» B. Expanding h<sub>I</sub>(n) | |
| 16. |
It is not desirable to restrict the inverse filter to be FIR. |
| A. | True |
| B. | False |
| Answer» C. | |
| 17. |
If H(z) is the system function of an LTI system and HI(z) is the system function of the inverse LTI system, then which of the following is true? |
| A. | H(z)*H<sub>I</sub>(z)=1 |
| B. | H(z)*H<sub>I</sub>(z)=δ(n) |
| C. | H(z).H<sub>I</sub>(z)=1 |
| D. | H(z).H<sub>I</sub>(z)=δ(n) |
| Answer» D. H(z).H<sub>I</sub>(z)=‚âà√≠¬¨‚Ä¢(n) | |
| 18. |
If h(n) is the impulse response of an LTI system and hI(n) is the impulse response of the inverse LTI system, then which of the following is true? |
| A. | h(n).h<sub>I</sub>(n)=1 |
| B. | h(n).h<sub>I</sub>(n)=δ(n) |
| C. | h(n)*h<sub>I</sub>(n)=1 |
| D. | h(n)*h<sub>I</sub>(n)=δ(n) |
| Answer» E. | |
| 19. |
Wiener filter is an FIR least-squares inverse filter. |
| A. | True |
| B. | False |
| Answer» B. False | |