Unit 4: The Continuous Time Fourier Transform and Sampling - Practice Quiz

ECE220 — Signal And Systems 60 Questions
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1 The Continuous Time Fourier Transform (CTFT) of a signal is defined as:

representation of aperiodic signals: the continuous time fourier transform Easy
A.
B.
C.
D.

2 The inverse Continuous Time Fourier Transform is given by:

representation of aperiodic signals: the continuous time fourier transform Easy
A.
B.
C.
D.

3 The Fourier Transform is primarily used to represent a signal in which domain?

Introduction Easy
A. Frequency domain
B. Time domain
C. Phase-only domain
D. Spatial domain

4 The Fourier Transform of a periodic signal consists of:

The fourier transform for periodic signals Easy
A. A single impulse at the origin
B. A flat constant spectrum
C. A continuous smooth spectrum
D. A train of impulses in the frequency domain

5 The Fourier Transform of is:

The fourier transform for periodic signals Easy
A.
B.
C.
D.

6 The linearity property of the Fourier Transform states that if and , then :

Properties of continuous time fourier transform Easy
A.
B.
C.
D.

7 According to the time-shifting property, if , then transforms to:

Properties of continuous time fourier transform Easy
A.
B.
C.
D.

8 Convolution in the time domain corresponds to what operation in the frequency domain?

Properties of continuous time fourier transform Easy
A. Convolution
B. Addition
C. Multiplication
D. Subtraction

9 The Fourier Transform of the impulse function is:

Properties of continuous time fourier transform Easy
A.
B.
C.
D.

10 Parseval's relation for the Fourier Transform relates the energy of a signal in the time domain to its energy in the:

Properties of continuous time fourier transform Easy
A. Frequency domain
B. Sample domain
C. Phase domain
D. Laplace domain

11 The frequency-shifting (modulation) property states that multiplying by causes its spectrum to be:

Properties of continuous time fourier transform Easy
A. Scaled by
B. Shifted by in time
C. Shifted by in frequency
D. Reflected about the origin

12 Sampling is the process of converting a:

Sampling: Introduction Easy
A. Signal into its frequency spectrum
B. Continuous-time signal into a discrete-time signal
C. Discrete-time signal into a continuous-time signal
D. Periodic signal into an aperiodic signal

13 According to the sampling theorem, to reconstruct a signal with maximum frequency , the sampling frequency must satisfy:

representation of continuous time signal by its samples: sampling theorem Easy
A.
B.
C.
D.

14 The minimum sampling rate equal to twice the maximum signal frequency is called the:

representation of continuous time signal by its samples: sampling theorem Easy
A. Bandwidth rate
B. Nyquist rate
C. Reconstruction rate
D. Aliasing rate

15 If the highest frequency in a signal is 4 kHz, the Nyquist rate is:

representation of continuous time signal by its samples: sampling theorem Easy
A. 4 kHz
B. 8 kHz
C. 2 kHz
D. 16 kHz

16 Ideal reconstruction of a band-limited signal from its samples is performed using which filter?

Reconstruction of a signal from its samples using interpolation Easy
A. All-pass filter
B. Ideal low-pass filter
C. Ideal high-pass filter
D. Band-stop filter

17 The interpolation function used in ideal reconstruction from samples is the:

Reconstruction of a signal from its samples using interpolation Easy
A. Step function
B. Exponential function
C. Sinc function
D. Square function

18 Aliasing occurs when a signal is sampled at a rate that is:

The effect of undersampling: aliasing Easy
A. Above the Nyquist rate
B. Equal to the Nyquist rate
C. Equal to the signal bandwidth
D. Below the Nyquist rate

19 The main effect of aliasing on a sampled signal is that:

The effect of undersampling: aliasing Easy
A. The sampling rate increases automatically
B. The signal becomes periodic
C. The signal amplitude doubles
D. High frequencies appear as lower frequencies

20 In software, the algorithm commonly used to compute the frequency spectrum of a sampled real-world signal is the:

Software simulation of frequency spectrum of real world signals Easy
A. Fast Convolution Transform (FCT)
B. Direct Time Transform (DTT)
C. Rapid Sampling Transform (RST)
D. Fast Fourier Transform (FFT)

21 The continuous-time Fourier transform of with is:

representation of aperiodic signals: the continuous time fourier transform Medium
A.
B.
C.
D.

22 The Fourier transform of a rectangular pulse of unit height and width centered at the origin is:

representation of aperiodic signals: the continuous time fourier transform Medium
A.
B.
C.
D.

23 The Fourier transform of a periodic signal consists of:

The fourier transform for periodic signals Medium
A. A single impulse at
B. A sinc function centered at
C. A train of impulses at with area
D. A continuous smooth spectrum

24 The Fourier transform of is:

The fourier transform for periodic signals Medium
A.
B.
C.
D.

25 If , then the Fourier transform of is:

Properties of continuous time fourier transform Medium
A.
B.
C.
D.

26 According to the convolution property of the CTFT, convolution in time corresponds to which operation in frequency?

Properties of continuous time fourier transform Medium
A. Addition of the transforms
B. Correlation of the transforms
C. Multiplication of the transforms
D. Convolution of the transforms

27 Using the scaling property, the Fourier transform of for is:

Properties of continuous time fourier transform Medium
A.
B.
C.
D.

28 Parseval's relation for the CTFT states that the total energy of equals:

Properties of continuous time fourier transform Medium
A.
B.
C.
D.

29 The duality property implies that if a rectangular pulse in time gives a sinc in frequency, then a sinc in time gives:

Properties of continuous time fourier transform Medium
A. A rectangular (ideal low-pass) shape in frequency
B. A triangular shape in frequency
C. Another sinc in frequency
D. An impulse train in frequency

30 For a real-valued signal , its Fourier transform satisfies:

Properties of continuous time fourier transform Medium
A.
B. is purely imaginary
C.
D. (conjugate symmetry)

31 The differentiation-in-time property gives the Fourier transform of as:

Properties of continuous time fourier transform Medium
A.
B.
C.
D.

32 A signal band-limited to must be sampled at a minimum rate of:

representation of continuous time signal by its samples: sampling theorem Medium
A.
B.
C.
D.

33 The sampling theorem states that a band-limited signal can be perfectly reconstructed if the sampling frequency satisfies:

representation of continuous time signal by its samples: sampling theorem Medium
A.
B.
C. where is the maximum frequency
D.

34 Ideal impulse-train sampling of with period produces a spectrum that is:

representation of continuous time signal by its samples: sampling theorem Medium
A. An impulse at only
B. A continuous non-periodic spectrum
C. A single copy of scaled by
D. Periodic replicas of spaced apart

35 Ideal reconstruction of a band-limited signal from its samples uses interpolation with which kernel?

Reconstruction of a signal from its samples using interpolation Medium
A. A Gaussian function
B. A triangular (linear) function
C. A rectangular pulse
D. The sinc function

36 A zero-order hold reconstruction produces a staircase output. Its frequency response distortion is best corrected by:

Reconstruction of a signal from its samples using interpolation Medium
A. An impulse train multiplier
B. A high-pass filter with infinite gain
C. A compensating (anti-imaging) filter
D. A differentiator

37 A sinusoid is sampled at . The apparent (aliased) frequency observed is:

The effect of undersampling: aliasing Medium
A.
B.
C.
D.

38 Aliasing occurs when:

The effect of undersampling: aliasing Medium
A. The sampling rate is much greater than the Nyquist rate
B. The signal is band-limited and oversampled
C. An ideal low-pass reconstruction filter is used
D. The sampling rate is less than twice the highest frequency component

39 To prevent aliasing before sampling, a system typically uses:

The effect of undersampling: aliasing Medium
A. An amplifier to boost signal power
B. A zero-order hold before the sampler
C. A high-pass filter after the sampler
D. An anti-aliasing low-pass filter before the sampler

40 In a software simulation, a sine wave sampled at will appear as a wave of frequency:

Software simulation of effect of undersampling Medium
A.
B.
C.
D.

41 The continuous-time Fourier transform of for is:

representation of aperiodic signals: the continuous time fourier transform Hard
A.
B.
C.
D.

42 If , what is the Fourier transform of ?

Properties of continuous time fourier transform Hard
A.
B.
C.
D.

43 For a periodic signal with Fourier series coefficients and fundamental frequency , the continuous-time Fourier transform is:

The fourier transform for periodic signals Hard
A.
B.
C.
D.

44 A signal is bandlimited to Hz. It is multiplied by before sampling. What is the minimum sampling rate to avoid aliasing of the product?

representation of continuous time signal by its samples: sampling theorem Hard
A. Hz
B. Hz
C. Hz
D. Hz

45 A sinusoid at kHz is sampled at kHz. What apparent (aliased) frequency appears in the baseband kHz?

The effect of undersampling: aliasing Hard
A. kHz
B. kHz
C. kHz
D. kHz

46 By Parseval's relation, if , then equals:

Properties of continuous time fourier transform Hard
A.
B.
C.
D.

47 The Fourier transform of the unit step is:

representation of aperiodic signals: the continuous time fourier transform Hard
A.
B.
C.
D.

48 In ideal band-limited reconstruction, the interpolation kernel used to reconstruct from samples spaced apart is:

Reconstruction of a signal from its samples using interpolation Hard
A.
B.
C.
D.

49 If is the transform of , the transform of is:

Properties of continuous time fourier transform Hard
A.
B.
C.
D.

50 A signal has spectrum nonzero only for Hz (bandpass). What is the theoretical minimum uniform sampling rate exploiting bandpass sampling?

representation of continuous time signal by its samples: sampling theorem Hard
A. Hz
B. Hz
C. Hz
D. Hz

51 Two continuous sinusoids at Hz and Hz are sampled at Hz. After sampling, they become indistinguishable because both alias to:

The effect of undersampling: aliasing Hard
A. Hz
B. Hz
C. Hz
D. Hz

52 The inverse Fourier transform of (height 1 over ) is:

representation of aperiodic signals: the continuous time fourier transform Hard
A.
B.
C.
D.

53 The duality property implies that if , then (function of ) transforms to:

Properties of continuous time fourier transform Hard
A.
B.
C.
D.

54 The Fourier transform of an impulse train is:

The fourier transform for periodic signals Hard
A.
B.
C.
D.

55 When computing the spectrum of a finite-length real-world signal using the DFT/FFT, a rectangular window causes spectral leakage primarily because:

Software simulation of frequency spectrum of real world signals Hard
A. The FFT algorithm introduces rounding errors at each butterfly stage
B. Truncation convolves the true spectrum with a sinc-shaped window transform having high sidelobes
C. The signal is not sampled fast enough to satisfy Nyquist
D. The DC component is not removed before transforming

56 A zero-order hold (ZOH) reconstruction filter has frequency response magnitude proportional to:

Reconstruction of a signal from its samples using interpolation Hard
A.
B.
C.
D.

57 If is real and even, then its Fourier transform is:

Properties of continuous time fourier transform Hard
A. Purely imaginary and odd
B. Real and even
C. Purely imaginary and even
D. Real and odd

58 A signal bandlimited to Hz is sampled at . In the sampled spectrum, aliasing distortion appears in the band:

The effect of undersampling: aliasing Hard
A.
B.
C.
D.

59 In a simulation, a Hz sine is sampled at Hz and reconstructed. The observed reconstructed frequency is:

Software simulation of effect of undersampling Hard
A. Hz
B. Hz
C. Hz
D. Hz

60 The Fourier transform of for is:

representation of aperiodic signals: the continuous time fourier transform Hard
A.
B.
C.
D.