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Digital Signal Processing Multiple Choice Questions | MCQs | Quiz

Digital Signal Processing Interview Questions and Answers
Practice Digital Signal Processing questions and answers for interviews, campus placements, online tests, aptitude tests, quizzes and competitive exams.

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•   ↓ Discrete Time System ↓
•   Implementation
•   Difference Equations
•   Analysis
•   Discrete Time Signals
•   Discrete Time Systems
•   Correlation
•   A2D & D2A Converters
•   Signal Classification
•   Signal Processing
•   Z Transform
•   Z Transform Properties - 1
•   Z Transform Properties - 2
•   Rational Z Transform
•   Z Transform Inversion
•   One Sided Z Transform
•   Z Domain System Analysis
•   ↓ Time Signal Analysis ↓
•   Continuous Analysis
•   Discrete Analysis - 1
•   Discrete Analysis - 2
•   Fourier Transform Property
•   LTI System Characteristics
•   Frequency Selective Filters
•   Inverse Systems
•   Frequency Domain Sample
•   DFT Properties
•   DFT Signal Analysis
•   Algorithm Computation - 1
•   Algorithm Computation - 2
•   FFT Algorithm Applications
•   DFT Computation Filtering
•   Quantization Effects
•   Realization Structures
•   FIR System Structures - 1
•   FIR System Structures - 2
•   IIR System Structures
•   State Space System
•   Number Representation - 1
•   Number Representation - 2
•   DTS Processing
•   Quantization Error Analysis
•   IIR Filter Design
•   Butterworth Filters Design-1
•   Butterworth Filters Design-2
•   Chebyshev Filters - 1
•   Chebyshev Filters - 2
•   Backward Method
•   Bilinear Transformations
•   Filter Quantization
•   Digital Filters Effects
•   Digital Filters Design
•   FIR Filters Design
•   FIR Windows Design - 1
•   FIR Windows Design - 2
•   Frequency Sample Method
•   Ripple Filter Design - 1
•   Ripple Filter Design - 2
•   FIR Differentiator Design
•   Hilbert Transformers Design
•   FIR Design Comparison
•   Analog Filters Design
•   Derivatives Design Method
•   Impulse Filter Design
•   Matched Z Transformation
•   Analog Characteristics
•   ↓ Transformations ↓
•   Analog Domain Frequency
•   Digital Domain Frequency
•   PadeApproximation Method
•   Least Squares Design
•   FIR Least Squares Filters
•   IIR Frequency Domain Filter
•   Analog Filters Classification
•   Butterworth Filters
•   Frequency Transformations
•   Factor I Interpolation
•   Sampling Rate Conversion
•   Multirate Signal Processing
•   Factor D Decimation
•   A/D Converter Oversampling
•   Sample & Hold
•   Band Pass Signal Sampling
•   Bandpass Signal
•   Quantization & Coding
•   Digital-Analog Conversion

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Digital Signal Processing Questions and Answers – Characteristics of Commonly Used Analog Filters

Posted on October 27, 2015 by Manish

This set of Digital Signal Processing aptitude tests focuses on “Characteristics of Commonly Used Analog Filters”.

1. Low pass Butterworth filters are also called as:
a) All-zero filter
b) All-pole filter
c) Pole-zero filter
d) None of the mentioned
View Answer

Answer: b
Explanation: Low pass Butterworth filters are also called as all-pole filters because it has only non-zero poles.
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2. What is the equation for magnitude square response of a low pass Butterworth filter?
digital-signal-processing-aptitude-test-q2d) None of the mentioned
View Answer

Answer: a
Explanation: A Butterworth is characterized by the magnitude frequency response
digital-signal-processing-aptitude-test-q2a
where N is the order of the filter and ΩC is defined as the cutoff frequency.

3. What is the transfer function of magnitude squared frequency response of the normalized low pass Butterworth filter?
digital-signal-processing-aptitude-test-q3
View Answer

Answer: d
Explanation: We know that the magnitude squared frequency response of a normalized low pass Butterworth filter is given as
digital-signal-processing-aptitude-test-q3a

4. Which of the following is the band edge value of |H(Ω)|2?
a) (1+ε2)
b) (1-ε2)
c) 1/(1+ε2)
d) 1/(1-ε2)
View Answer

Answer: c
Explanation: 1/(1+ε2) gives the band edge value of the magnitude square response |H(Ω)|2.

5. The magnitude square response shown in the below figure is for which of the following given filters?
digital-signal-processing-aptitude-test-q5
a) Butterworth
b) Chebyshev
c) Elliptical
d) None of the mentioned
View Answer

Answer: a
Explanation: The magnitude square response shown in the given figure is for Butterworth filter.

6. What is the order of a low pass Butterworth filter that has a -3dB bandwidth of 500Hz and an attenuation of 40dB at 1000Hz?
a) 4
b) 5
c) 6
d) 7
View Answer

Answer: d
Explanation: Given Ωc=1000π and Ωs=2000π
For an attenuation of 40dB, δ2=0.01. We know that
digital-signal-processing-aptitude-test-q6
Thus by substituting the corresponding values in the above equation, we get N=6.64
To meet the desired specifications, we select N=7.
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7. Which of the following is true about type-1 chebyshev filter?
a) Equi-ripple behavior in pass band
b) Monotonic characteristic in stop band
c) Both of the mentioned
d) None of the mentioned
View Answer

Answer: c
Explanation: Type-1 chebyshev filters are all-pole filters that exhibit equi-ripple behavior in pass band and a monotonic characteristic in the stop band.

8. Type-2 chebyshev filters consists of:
a) Only poles
b) Both poles and zeros
c) Only zeros
d) Cannot be determined
View Answer

Answer: b
Explanation: Type-1 chebyshev filters are all-pole filters where as the family of type-2 chebyshev filters contains both poles and zeros.

9. Which of the following is false about the type-2 chebyshev filters?
a) Monotonic behavior in the pass band
b) Equi-ripple behavior in the stop band
c) Both of the mentioned
d) Monotonic behavior in the stop band.
View Answer

Answer: d
Explanation: Type-2 chebyshev filters exhibit equi-ripple behavior in stop band and a monotonic characteristic in the pass band.

10. The zeros of type-2 class of chebyshev filters lies on:
a) Imaginary axis
b) Real axis
c) Zero
d) Cannot be determined
View Answer

Answer: a
Explanation: The zeros of this class of filters lie on the imaginary axis in the s-plane.

11. Which of the following defines a chebyshev polynomial of order N, TN(x)?
a) cos(Ncos-1x) for all x
b) cosh(Ncosh-1x) for all x
c) cos(Ncos-1x), |x|≤1
cosh(Ncosh-1x), |x|>1
d) None of the mentioned
View Answer

Answer: c
Explanation: In order to understand the frequency-domain behavior of chebyshev filters, it is utmost important to define a chebyshev polynomial and then its properties. A chebyshev polynomial of degree N is defined as
TN(x) = cos(Ncos-1x), |x|≤1
cosh(Ncosh-1x), |x|>1

12. The frequency response shown in the figure below belongs to which of the following filters?
digital-signal-processing-aptitude-test-q12
a) Type-1 chebyshev
b) Type-2 chebyshev
c) Butterworth
d) Elliptical
View Answer

Answer: b
Explanation: Since the pass band is monotonic in behavior and the stop band exhibit equi-ripple behavior, it is the magnitude square response of a type-2 chebyshev filter.
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13. What is the order of the type-2 chebyshev filter whose magnitude square response is as shown in the above figure?
a) 2
b) 4
c) 6
d) 3
View Answer

Answer: d
Explanation: Since from the magnitude square response of the type-2 chebyshev filter, it has odd number of maxima and minima in the stop band, the order of the filter is odd i.e., 3.

14. Which of the following is true about the magnitude square response of an elliptical filter?
a) Equi-ripple in pass band
b) Equi-ripple in stop band
c) Equi-ripple in pass band and stop band
d) None of the mentioned
View Answer

Answer: c
Explanation: An elliptical filter is a filter which exhibit equi-ripple behavior in both pass band and stop band of the magnitude square response.

15. Bessel filters exhibit a linear phase response over the pass band of the filter.
a) True
b) False
View Answer

Answer: a
Explanation: An important characteristic of the Bessel filter is the linear phase response over the pass band of the filter. As a consequence, Bessel filters has a larger transition bandwidth, but its phase is linear within the pass band.

Sanfoundry Global Education & Learning Series – Digital Signal Processing.

To practice all areas of Digital Signal Processing for aptitude tests, here is complete set of 1000+ Multiple Choice Questions and Answers.

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