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MCQ for DSP DATASET · DECEMBER 2013
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Mewar University, Gangrar, Chaittorgarh Electronics Electronics and Communication Engineering Department Multiple Choice Choice Question Bank Subject: DSP th
(5 Semester ECE) Unit-1 1. a) b) c) d)
DSP stands? Digital signal processing Discrete signal processing pr ocessing Double signal processor None of the above i
2. Given that a) 0 b) 1 c) -1 d) e
W
N
e
i
3. Given that a) 0 b) 1 c) -1 d) e
W
2
e
, where
N
3 . Then
2 N
N
F
W
can be computed as
F
N
, where
N
3.
F
W
2
can be computed as
F
4. Determine the convolution sum of two sequences x(n) = {3, 2, 1, 2} and h(n) = {1, 2, 1, 2} a) y(n) = {3,8,8,12,9,4,4} b) y(n) = {3,8,3,12,9,4,4} c) y(n) = {3,8,8,12,9,1,4} d) y(n) = {3,8,8,1,9,4,4} 5. Sampling theorem: a) fmfm
Mewar University, Gangrar, Chaittorgarh Electronics Electronics and Communication Engineering Department Multiple Choice Choice Question Bank Subject: DSP th
(5 Semester ECE) Unit-1 1. a) b) c) d)
DSP stands? Digital signal processing Discrete signal processing pr ocessing Double signal processor None of the above i
2. Given that a) 0 b) 1 c) -1 d) e
W
N
e
i
3. Given that a) 0 b) 1 c) -1 d) e
W
2
e
, where
N
3 . Then
2 N
N
F
W
can be computed as
F
N
, where
N
3.
F
W
2
can be computed as
F
4. Determine the convolution sum of two sequences x(n) = {3, 2, 1, 2} and h(n) = {1, 2, 1, 2} a) y(n) = {3,8,8,12,9,4,4} b) y(n) = {3,8,3,12,9,4,4} c) y(n) = {3,8,8,12,9,1,4} d) y(n) = {3,8,8,1,9,4,4} 5. Sampling theorem: a) fmfm
c) fs>=2fm d) fs=2fm 6. Application of Convolution: a) FIR Filtering b) Addition c) Manipulation d) None of these 7. Condition for aliasing problem: a) fs
a. W
N
e i
b. W
2
e
2 N
i
c. W
e
2 N
d. none
11. Phase factor: i
a. W
2 N
e i
c. W
N
e i
b. W
2
e
2 N
d. none
12. Calculate DFT of x (n) = {1, 0, 1, 0}. a. x (k) = {2, 0, 2, 0} b. x (k) = {1, 0, 1, 0} c. x (k) = {2, 0, 1, 0} d. none 13. Calculate DFT of x (n)=
(n ) .
a. 1 b. 0 i
c. W
e
2 N
d. none 14. Calculate DFT of x (n)= a. e
jwn0
b. e jwn0 c. 1
(n
n 0) where 0
d. none 15. The FFT algorithms: a. eliminate the redundant calculation and enable to analyze the spectral properties of a signal. b. enable the redundant calculation and redundant to analyze the spectral pr operties of a signal. c. a & b d. none 16. The relation between DFT and Fourier series coefficients of a periodic sequence is a. X(K) = C k/N b. X(K)= C k c. X(K) = NC k d. X(K)=1/C k 17. If x(n) ------N pt DFT------ X(K) Then x*(-n, (mod N)) -------------N pt DFT-------- ___________ a. X*(-K) b. X*(K) c. X(-k) d. X(K) 18. If the Nyquist rate for x a(t) is Ωs , what is the Nyquist rate for d x a(t)/dt a. dΩs/df b. Ωs c. Ωs/2 d. 2Ωs 19. If the Nyquist rate for x a(t) is Ωs , what is the Nyquist rate for x a(2t) a. 2Ωs b. Ωs/2 c. Ωs d. Ωs/4 2 20. If the Nyquist rate for x a(t) is Ωs , what is the Nyquist rate for x a (t) a. 2Ωs b. Ωs/2 c. Ωs d. Ωs/4 21. If the Nyquist rate for x a(t) is Ωs , what is the Nyquist rate for x a(t)Cos( Ω 0 t) a. Ωs + 2Ω0 b. Ωs * 2Ω0 c. Ωs /2Ω0
d. Ωs - 2Ω0 22. The minimum sampling frequency for x a(t) is real with X a(f) non-zero only for 9 KHz < |f| < 12 KHz is a. 4.5 KHz b. 6 KHz c. 9 KHz d. 12 KHz 23. The minimum sampling frequency for x a(t) is real with X a(f) non-zero only for 18 KHz < |f| < 22 KHz is a. 8.8 KHz b. 9 KHz c. 11 KHz d. 17.6 KHz 24. The minimum sampling frequency for x a(t) is complex with X a(f) non-zero only for 30 KHz < |f| < 35 KHz is a. 6 KHz b. 5 KHz c. 15 KHz d. 17.5 KHz 25. Find two different continuous-time signals that will produce the sequence x(n) = cos( 0.15 nπ) when sampled with a sampling frequency of 8 KHz. a. sine(1200πt) and Cos(17200πt) b. Cos(1200πt) and Sine(17200πt) c. Cos(1200πt) and Cos(17200πt) d. Sine(1200πt) and Sine(17200πt) 26. A continuous-time signal xa(t) is known to be uniquely recoverable from its samples xa(nTs) when Ts = 1 ms. What is the highest frequency in Xa( f )? a. 500 Hz b. 1000 Hz c. 700 Hz d. 5 KHz 27. Suppose that xa(t) is bandlimited to 8 kHz (that is, Xa( f ) = 0 for |f| > 8000), then what is the Nyquist rate for xa(t)? a. 16 KHz b. 4 KHz c. 8 KHz d. 12 KHz 28. Suppose that xa(t) is bandlimited to 8 kHz (that is, Xa( f ) = 0 for |f| > 8000), then what is the Nyquist rate for xa(t)cos(2π . 1000t)? a. 16 KHz b. 4 KHz c. 18 KHz d. 5 KHz
28. If a continuous-time filter with an impulse response ha(t) is sampled with a sampling frequency of f s , what happens to the cutoff frequency w of the discrete-time filter as f s is increased? a. wc increases b. wc decreases c. wc remains constant d. wc depends upon f s 29. A complex bandpass signal xa(t) with Xa(f) nonzero for 10 kHz < f < 12 kHz is sampled at a sampling rate of 2 kHz. The resulting sequence is x(n) = δ(n), then x a(t) will be j2π(11000)t a. xa(t) = (1/2000) (Sine(2000πt)/(πt))e - j2π(11000)t b. xa(t) = (1/2000) (Sine(2000πt)/(πt))e j2π(11000)t c. xa(t) = (1/2000) (Cos(2000πt)/(πt))e - j2π(11000)t d. xa(t) = (1/2000) (Cos(2000πt)/(πt))e 30. If the highest frequency in x a(t) is f = 8 kHz, then the minimum sampling frequency for the 3 bandpass signal ya(t) = xa(t) Cos(Ω0t) if Ω0 = 2π.20.10 will be a. 56 KHz b. 64 KHz c. 16 KHz d. 32 KHz c
31. Drawbacks of DSP is a. Digital processing needs pre and post processing devices b. high cost c. No memory storage d. none of above 32. Drawbacks of DSP is a. Digital processing needs A/D and D/A converters and associated reconstruction filters b. high cost c. No reliable d. none of above 33. Advantages of DSP are: a. low cost b. stable c. reliable d. all of above 34. Advantages of DSP are: a. predictable b. repeatable c. Sharing a single processor among a number of signals by time sharing d. all of above
35. Advantages of DSP are: a. low cost b. repeatable c. storage of data is very easy d. all of above 36. Application of DSP: a. Military b. telecommunication c. consumer electronics d. all of above 37. Application of DSP: a. medicine b. seismology c. signal filtering d. all of above 38. Fast convolution techniques: a. overlap save b. overlap add c. a & b d. none of above 39. Correlation a. It gives a measure of similarity between two data sequences. b. It gives a measure of dis-similarity between two data sequences c. a & b d. none of above 40. Find the response of an FIR filter with impulse response h(n)= {1,2,4} to the input sequence x(n)={1,2}. a. y(n)={1,4,8,8} b. y(n)={1,4,6,6} c. y(n)={1,2,8,8} d. none of above Answer Key Unit-1: 1
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Unit-2 1. IIR filters
a) Use feedback b) Are sometimes called recursive filters c) Can oscillate if not properly designed d) all of the above 2. A Blackman window can eliminate ripple in FIR filters. The tradeoff is a) larger transition bandwidth
b) smaller transition bandwidth c) a non-linear phase response d) possible instability 3. The output of two digital filters can be added. Or, the same effect can be achieved by a) adding their coefficients
b) subtracting their coefficients c) convolving their coefficients d) averaging their coefficients and then using a Blackman window 4. The letter A below indicates the filter
a) stopband b) transition band c) passband
d) ripple 5. A DSP convolves each discrete sample with four coefficients and they are all equal to 0.25. This must be a a) low-pass filter
b) high-pass filter c) band-pass filter d) band-stop filter 6. The inverse Fourier transform a) converts from the frequency domain to the time domain
b) converts from the time domain to the frequency domain c) converts from the phasor domain to the magnitude domain d) is used to make real-time spectrum analyzers 7. This is the impulse response for
a) an IIR highpass filter b) an FIR bandpass filter c) an IIR lowpass filter d) an FIR lowpass filter 8. Coefficient symmetry is important in FIR filters because it provides
a) a smaller transition bandwidth b) less passband ripple
c) less stopband ripple d) a linear phase response 10. This time graph shows the
a) frequency response of an IIR filter b) amplitude response of an IIR filter c) impulse response of an IIR filter
d) none of the above 11. Curve A is the
a) phase response of a lowpass filter b) amplitude response of a lowpass filter
c) both of the above d) none of the above 12. This windowed sinc FIR filter has ripple caused by
a) non-symmetrical coefficients b) Gibb's phenomenon
c) too few taps d) a defective accumulator 13. Two digital filters can be operated in cascade. Or, the same effect can be achieved by
a) adding their coefficients b) subtracting their coefficients c) convolving their coefficients
d) averaging their coefficients and then using a Blackman window 14. A DSP convolves each discrete sample with four coefficients and they are all equal to 0.25. This must be an
