Digital Signal Processing MCQ [Free PDF] – Objective Question Answer for Digital Signal Processing Quiz

81. If A=\(\frac{Ω_1 (Ω_u-Ω_l)}{-Ω_1^2+Ω_u Ω_l}\) and B=\(\frac{Ω_2 (Ω_u-Ω_l)}{-Ω_2^2+Ω_u Ω_l}\), then which of the following is the backward design equation for a low pass-to-band stop transformation?

A. ΩS=Max{|A|,|B|}
B. ΩS=Min{|A|,|B|}
C. ΩS=|B|
D. ΩS=|A|

Answer: B

If Ωu and Ωl are the upper and lower cutoff pass band frequencies of the desired band stop filter and Ω1 and Ω2 are the lower and upper cutoff stopband frequencies of the desired band stop filter, then the backward design equation is

ΩS= Min{|A|,|B|}

where, =\(\frac{Ω_1 (Ω_u-Ω_l)}{-Ω_1^2+Ω_u Ω_l}\) and B=\(\frac{Ω_2 (Ω_u-Ω_l)}{-Ω_2^2+Ω_u Ω_l}\).

 

82. Which of the following is a low pass-to-high pass transformation?

A. s→ s / Ωu
B. s→ Ωu / s
C. s→ Ωu.s
D. none of the mentioned

Answer: B

The low pass-to-high pass transformation is simply achieved by replacing s by 1/s. If the desired high pass filter has the passband edge frequency Ωu, then the transformation is
s→ Ωu / s

 

83. The following frequency characteristic is for which of the following filter?

A. Type-2 Chebyshev filter
B. Type-1 Chebyshev filter
C. Butterworth filter
D. Bessel filter

Answer: C

The frequency characteristic given in the figure is the magnitude response of a 37-order Butterworth filter.

 

84. Which of the following is a low pass-to-band stop transformation?

A. s→\(\frac{s(Ω_u-Ω_l)}{s^2+Ω_u Ω_l}\)

B. s→\(\frac{s(Ω_u+Ω_l)}{s^2+Ω_u Ω_l}\)

C. s→\(\frac{s(Ω_u-Ω_l)}{s^2-Ω_u Ω_l}\)

D. None of the mentioned

Answer: C

If Ωu and Ωl are the upper and lower cutoff pass band frequencies of the desired band stop filter, then the transformation to be performed on the normalized low pass filter is

s→\(\frac{s(Ω_u-Ω_l)}{s^2-Ω_u Ω_l}\)

 

85. Which of the following techniques of designing IIR filters do not involve the conversion of an analog filter into a digital filter?

A. Bilinear transformation
B. Impulse invariance
C. Approximation of derivatives
D. None of the mentioned

Answer: B

Except for the impulse invariance method, the design techniques for IIR filters involve the conversion of an analog filter into a digital filter by some mapping from the s-plane to the z-plane.

 

86. Using which of the following methods, a digital IIR filter can be directly designed?

A. Pade approximation
B. Least square design in the time domain
C. Least square design in the frequency domain
D. All of the mentioned

Answer: D

There are several methods for designing digital filters directly. The three techniques are Pade approximation and the least square method, the specifications are given in the time domain and the design is carried out in the time domain. The other one is the least-squares technique in which the design is carried out in the frequency domain.

 

87. What is the number of parameters that a filter consists of?

A. M+N+1
B. M+N
C. M+N-1
D. M+N-2

Answer: A

The filter has L=M+N+1 parameters, namely, the coefficients {ak} and {bk}, which can be selected to minimize some error criteria.

 

88. The minimization of ε involves the solution of a set of non-linear equations.

A. True
B. False

Answer: A

In general, h(n) is a non-linear function of the filter parameters and hence the minimization of ε involves the solution of a set of non-linear equations.

 

89. What should be the upper limit of the solution to match h(n) perfectly to the desired response hd(n)?

A. L
B. L+1
C. L-1
D. L+2

Answer: C

If we select the upper limit as U=L-1, it is possible to match h(n) perfectly to the desired response hd(n) for 0 < n < M+N.

 

90. For how many values of the impulse response, a perfect match is present between h(n) and hd(n)?

A. L
B. M+N+1
C. 2L-M-N-1
D. All of the mentioned

Answer: D

We obtain a perfect match between h(n) and the desired response hd(n) for the first L values of the impulse response and we also know that L=M+N+1.

 

91. The degree to which the design technique produces acceptable filter designs depends in part on the number of filter coefficients selected.

A. True
B. False

Answer: A

The degree to which the design technique produces acceptable filter designs depends in part on the number of filter coefficients selected. Since the design method matches hd(n) only up to the number of filter parameters, the more complex the filter, the better the approximation to hd(n).

 

92. According to this method of design, the filter should have one of the following in large numbers?

A. Only poles
B. Both poles and zeros
C. Only zeros
D. None of the mentioned

Answer: B

The major limitation of the Pade approximation method, namely, the resulting filter must contain a large number of poles and zeros.

 

93. Which of the following conditions are in the favor of Pade approximation method?

A. Desired system function is rational
B. Prior knowledge of the number of poles and zeros
C. Desired system function is rational & Prior knowledge of the number of poles and zeros
D. None of the mentioned

Answer: C

The Pade approximation method results in a perfect match to Hd(z) when the desired system function is rational and we have prior knowledge of the number of poles and zeros in the system.

 

94. Which of the following filters will have an impulse response as shown in the below figure?

A. Butterworth filters
B. Type-I Chebyshev filter
C. Type-II Chebyshev filter
D. None of the mentioned

Answer: A

The diagram that is given in the question is the impulse response of the Butterworth filter.

 

95. For what number of zeros, the approximation is poor?

A. 3
B. 4
C. 5
D. 6

Answer: A

When the number of zeros is minimum, that is when M=3, the resulting frequency response is a relatively poor approximation to the desired response.

 

96. Which of the following pairs of M and N will give a perfect match?

A. 3,6
B. 3,4
C. 3,5
D. 4,5

Answer: D

When M is increased from three to four, we obtain a perfect match with the desired Butterworth filter not only for N=4 but for N=5, and in fact, for larger values of N.

 

97. Which of the following filters will have an impulse response as shown in the below figure?

A. Butterworth filters
B. Type-I Chebyshev filter
C. Type-II Chebyshev filter
D. None of the mentioned

Answer: C

The diagram that is given in the question is the impulse response of the type-II Chebyshev filter.

 

98. Which of the following filter we use in least-square design methods?

A. All zero
B. All pole
C. Pole-zero
D. Any of the mentioned

Answer: B

Let us assume that hd(n) is specified for n > 0, and the digital filter is an all-pole filter.

 

99. Which of the following are cascaded in this method?

A. Hd(z), H(z)
B. 1/Hd(z), 1/H(z)
C. 1/Hd(z), H(z)
D. Hd(z), 1/H(z)

Answer: D

In this method, we consider the cascade connection of the desired filter Hd(z) with the reciprocal, all zero filter 1/H(z).

 

100. If δ(n) is the input, then what is the ideal output of yd(n)?

A. δ(n)
B. 0
C. u(n)
D. None of the mentioned

Answer: A

We excite the cascade configuration by the unit sample sequence δ(n). Thus the input to the inverse system 1/H(z) is hd(n) and the output is y(n). Ideally, yd(n)= δ(n).

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