Explore topic-wise MCQs in Digital Signal Processing.

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
Discussion
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)
Discussion
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
Discussion
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.
Discussion
5.

The auto correlation of the sequence is required to minimize ε.

A. True
B. False
Answer» B. False
Discussion
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.
Discussion
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)
Discussion
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.
Discussion
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.
Discussion
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)
Discussion
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>
Discussion
12.

The auto correlation of the sequence is required to minimize ε?#

A. True
B. False
Answer» B. False
Discussion
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
Discussion
14.

What should be the length of the truncated filter?

A. M
B. M-1
C. M+1
D. Infinite
Answer» D. Infinite
Discussion
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)
Discussion
16.

It is not desirable to restrict the inverse filter to be FIR.

A. True
B. False
Answer» C.
Discussion
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)
Discussion
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.
Discussion
19.

Wiener filter is an FIR least-squares inverse filter.

A. True
B. False
Answer» B. False
Discussion