1
The Continuous Time Fourier Transform (CTFT) of an aperiodic signal is defined as:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
This is the standard analysis equation (forward transform) for the Continuous Time Fourier Transform.
2
Which of the following conditions guarantees the convergence of the Fourier Transform (Dirichlet conditions)?
A. must have an infinite number of maxima and minima.
B. must have an infinite number of discontinuities.
C. must be absolutely integrable.
D. must be periodic.
Reveal Answer
Hide Answer
Correct Answer: must be absolutely integrable.
Explanation:
One of the Dirichlet conditions states that , meaning the signal must be absolutely integrable.
3
The inverse Fourier transform is given by:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The synthesis equation (inverse transform) includes the scaling factor when integrating over angular frequency .
4
What is the Fourier Transform of the impulse signal ?
Reveal Answer
Hide Answer
5
The Fourier transform of the signal for is:
Reveal Answer
Hide Answer
6
What is the Fourier Transform of a constant signal ?
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
A constant in the time domain transforms into an impulse at zero frequency in the frequency domain, scaled by .
7
The Fourier Transform of a rectangular pulse is a:
A. Sinc function
B. Gaussian function
C. Triangular function
D. Impulse train
Reveal Answer
Hide Answer
Correct Answer: Sinc function
Explanation:
The Fourier pair for a rectangular pulse is a sinc function ( or ).
8
In the context of periodic signals, the Fourier Transform consists of:
A. A step function
B. A continuous spectrum
C. A train of impulses
D. A single impulse
Reveal Answer
Hide Answer
Correct Answer: A train of impulses
Explanation:
The Fourier Transform of a periodic signal is a sequence of impulses located at the harmonic frequencies.
9
What is the Fourier Transform of ?
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Using Euler's identity and the fact that .
10
If is real and even, its Fourier Transform is:
A. Real and even
B. Imaginary and odd
C. Real and odd
D. Imaginary and even
Reveal Answer
Hide Answer
Correct Answer: Real and even
Explanation:
For a real and even signal, the Fourier transform is purely real and even.
11
If , then the linearity property states that transforms to:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The Fourier Transform is a linear operation.
12
The time-shifting property states that if , then transforms to:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
A shift in time corresponds to a linear phase shift in the frequency domain.
13
The frequency-shifting property implies that multiplying by results in:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Multiplication by a complex exponential in time corresponds to a shift in the frequency domain.
14
Regarding the time-scaling property, if , then transforms to:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Time compression ( ) leads to frequency expansion and magnitude scaling by .
15
What is the Fourier Transform of the derivative ?
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Differentiation in the time domain corresponds to multiplication by in the frequency domain.
16
The convolution property states that convolution in the time domain corresponds to what in the frequency domain?
A. Addition:
B. Multiplication:
C. Convolution:
D. Division:
Reveal Answer
Hide Answer
Correct Answer: Multiplication:
Explanation:
This is a fundamental property: Time Convolution Frequency Multiplication.
17
Parseval's relation for aperiodic signals states that the total energy in the time domain equals:
A. The maximum value of the frequency spectrum.
B. The total area under the frequency spectrum.
C.
D.
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Parseval's theorem relates the energy of the signal in the time domain to the energy spectral density in the frequency domain, normalized by .
18
The multiplication property states that corresponds to:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Multiplication in the time domain corresponds to convolution in the frequency domain, scaled by .
19
What is the duality property of the Fourier Transform?
A. If , then
B. If , then
C. If , then
D. If , then
Reveal Answer
Hide Answer
Correct Answer: If , then
Explanation:
The duality property allows the roles of time and frequency to be interchanged with appropriate scaling and reversal.
20
The integration property results in:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Integration involves division by , but also requires an impulse term to account for the DC component (average value).
21
When simulating the frequency spectrum of a real-world signal using software, which algorithm is typically used?
A. Z-Transform
B. Riemann Sum
C. Laplace Transform
D. Fast Fourier Transform (FFT)
Reveal Answer
Hide Answer
Correct Answer: Fast Fourier Transform (FFT)
Explanation:
The FFT is an efficient algorithm to compute the Discrete Fourier Transform, used widely in software for spectral analysis.
22
In a software simulation, plotting versus yields the:
A. Cepstrum
B. Power spectrum
C. Phase spectrum
D. Magnitude spectrum
Reveal Answer
Hide Answer
Correct Answer: Magnitude spectrum
Explanation:
The modulus of the complex Fourier transform represents the magnitude spectrum.
23
The process of converting a continuous-time signal into a discrete-time signal by selecting values at specific time instants is called:
A. Modulation
B. Sampling
C. Quantization
D. Encoding
Reveal Answer
Hide Answer
Correct Answer: Sampling
Explanation:
Sampling is the reduction of a continuous-time signal to a discrete-time signal.
24
Mathematically, ideal sampling can be represented as multiplying the continuous signal by:
A. A cosine wave
B. A rectangular window
C. A unit step function
D. A periodic train of impulses
Reveal Answer
Hide Answer
Correct Answer: A periodic train of impulses
Explanation:
Ideal sampling (impulse train sampling) models the sampling process as multiplication by a Dirac comb.
25
The Sampling Theorem (Nyquist-Shannon) states that a signal can be perfectly reconstructed if the sampling frequency satisfies:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The sampling rate must be at least twice the maximum frequency component of the band-limited signal.
26
The minimum sampling rate required to avoid aliasing is called the:
A. Cut-off rate
B. Nyquist rate
C. Fundamental rate
D. Fourier rate
Reveal Answer
Hide Answer
Correct Answer: Nyquist rate
Explanation:
The Nyquist rate is defined as twice the bandwidth (or maximum frequency) of the signal.
27
What is the Nyquist interval for a signal with maximum frequency ?
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The Nyquist interval is the reciprocal of the Nyquist rate ( ).
28
If a signal is sampled, what is the Nyquist rate?
A. 100 Hz
B. 100 Hz
C. 200 Hz
D. 50 Hz
Reveal Answer
Hide Answer
Correct Answer: 100 Hz
Explanation:
The frequency is , so Hz. Nyquist rate = Hz.
29
The spectrum of a sampled signal consists of:
A. A single impulse at the sampling frequency.
B. The original spectrum multiplied by the sampling frequency.
C. Periodic repetitions of shifted by multiples of the sampling frequency.
D. Only the original spectrum .
Reveal Answer
Hide Answer
Correct Answer: Periodic repetitions of shifted by multiples of the sampling frequency.
Explanation:
Sampling in time corresponds to convolution with an impulse train in frequency, creating replicas of the spectrum spaced by .
30
Undersampling occurs when:
A.
B.
C. The signal is not band-limited.
D.
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Undersampling is the condition where the sampling rate is insufficient (below the Nyquist rate).
31
The phenomenon where high-frequency components of a signal appear as lower frequencies in the sampled version is known as:
A. Leakage
B. Quantization noise
C. Gibbs phenomenon
D. Aliasing
Reveal Answer
Hide Answer
Correct Answer: Aliasing
Explanation:
Aliasing is the distortion that results when a signal reconstructed from samples differs from the original continuous signal due to undersampling.
32
To recover the continuous signal from its samples , we pass the sampled signal through a:
A. High-pass filter
B. Differentiator
C. Band-pass filter
D. Ideal Low-pass filter
Reveal Answer
Hide Answer
Correct Answer: Ideal Low-pass filter
Explanation:
An ideal low-pass filter removes the spectral replicas introduced by sampling, leaving only the baseband spectrum.
33
The ideal interpolation formula for reconstructing a band-limited signal is based on which function?
A. Exponential function
B. Sinc function
C. Gaussian function
D. Step function
Reveal Answer
Hide Answer
Correct Answer: Sinc function
Explanation:
Ideal reconstruction uses the sinc function (impulse response of an ideal LPF) to interpolate between samples. .
34
In the frequency domain, the ideal reconstruction filter should have a gain of and a cut-off frequency of:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The cut-off frequency is typically set to the Nyquist frequency (half the sampling rate) to reject aliases.
35
Which of the following is an example of a practical (non-ideal) reconstruction method?
A. Whitaker-Shannon interpolation
B. Infinite Impulse Response
C. Zero-order hold
D. Dirichlet interpolation
Reveal Answer
Hide Answer
Correct Answer: Zero-order hold
Explanation:
Zero-order hold is a practical DAC method that maintains the voltage level of a sample until the next sample (staircase approximation).
36
If a signal with max frequency 10 kHz is sampled at 15 kHz, what will happen?
A. Aliasing
B. Oversampling
C. Perfect reconstruction
D. Amplitude distortion only
Reveal Answer
Hide Answer
Correct Answer: Aliasing
Explanation:
Nyquist rate = 20 kHz. Since 15 kHz < 20 kHz, undersampling occurs, leading to aliasing.
37
An anti-aliasing filter is placed:
A. Before the sampler/ADC
B. Inside the digital processor
C. After the A/D converter
D. After the D/A converter
Reveal Answer
Hide Answer
Correct Answer: Before the sampler/ADC
Explanation:
It is a low-pass filter used before sampling to restrict the bandwidth of the signal to satisfy the Nyquist criterion.
38
In software simulation of undersampling, if a 90 Hz sine wave is sampled at 100 Hz, it will appear as a sine wave of what frequency?
A. 90 Hz
B. 190 Hz
C. 100 Hz
D. 10 Hz
Reveal Answer
Hide Answer
Correct Answer: 10 Hz
Explanation:
The alias frequency is (for the first alias). Hz.
39
The 'wagon wheel effect' in movies, where wheels appear to rotate backwards, is a visual example of:
A. Aliasing
B. Dispersion
C. Doppler shift
D. Phase delay
Reveal Answer
Hide Answer
Correct Answer: Aliasing
Explanation:
This is temporal aliasing caused by the camera's frame rate (sampling rate) being too low relative to the wheel's rotation speed.
40
If is the spectrum of , and is real-valued, then is:
A. An even function
B. An odd function
C. Always zero
D. Undefined
Reveal Answer
Hide Answer
Correct Answer: An even function
Explanation:
For real signals, the magnitude spectrum is symmetric (even) about the vertical axis.
41
What happens to the spectrum if a signal is compressed in time ( )?
A. Spectrum expands
B. Spectrum compresses
C. Spectrum magnitude doubles
D. Spectrum shifts right
Reveal Answer
Hide Answer
Correct Answer: Spectrum expands
Explanation:
Time compression leads to frequency expansion (wider bandwidth).
42
What is the value of (the DC component)?
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
Setting in the Fourier transform definition yields the integral of the signal over all time (total area).
43
The Fourier Transform of the unit step function involves:
A. Only an imaginary part
B. An impulse at the origin and an imaginary part
C. Only a real part
D. A train of impulses
Reveal Answer
Hide Answer
Correct Answer: An impulse at the origin and an imaginary part
44
Which property explains why sharp transitions in time (like a square wave) result in high-frequency components in the spectrum?
A. Time shifting
B. Linearity
C. Time scaling / Inverse relationship between time and frequency duration
D. Convolution
Reveal Answer
Hide Answer
Correct Answer: Time scaling / Inverse relationship between time and frequency duration
Explanation:
Signals that change rapidly in time (short duration features) have spectral components that extend to high frequencies (broad bandwidth).
45
In the context of sampling, the 'Guard Band' is:
A. The bandwidth of the signal.
B. The amplitude of the samples.
C. The gap between replicas of the spectrum ( ).
D. The frequency range where the filter gain is 1.
Reveal Answer
Hide Answer
Correct Answer: The gap between replicas of the spectrum ( ).
Explanation:
A guard band is the empty frequency space between the baseband spectrum and the first spectral replica, allowing for practical filter rolloff.
46
If a signal is band-limited to Hz, its energy is:
A. Zero
B. Finite
C. Infinite
D. Undefined
Reveal Answer
Hide Answer
Correct Answer: Finite
Explanation:
Band-limited signals in physical systems typically have finite energy.
47
The First-Order Hold (FOH) interpolation connects sample points with:
A. Parabolas
B. Horizontal lines
C. Impulses
D. Straight sloped lines (Linear interpolation)
Reveal Answer
Hide Answer
Correct Answer: Straight sloped lines (Linear interpolation)
Explanation:
FOH uses linear interpolation between adjacent samples.
48
The Energy Spectral Density (ESD) is defined as:
Reveal Answer
Hide Answer
Correct Answer:
Explanation:
The ESD describes how the energy of a signal or a time series is distributed with frequency.
49
When sampling at exactly the Nyquist rate ( ), reconstruction can be problematic if:
A. The signal is a sine wave sampled at its zero crossings.
B. The signal has no DC component.
C. The signal is a cosine wave.
D. The signal amplitude is too high.
Reveal Answer
Hide Answer
Correct Answer: The signal is a sine wave sampled at its zero crossings.
Explanation:
If you sample a sine wave exactly at its zero crossings, all samples are zero, and the signal cannot be recovered. In practice, is preferred.
50
Which of the following signals cannot be sampled without aliasing (conceptually)?
A. A band-limited sinc function
B. A time-limited rectangular pulse
C. A cosine wave
D. A sum of two sine waves
Reveal Answer
Hide Answer
Correct Answer: A time-limited rectangular pulse
Explanation:
A signal that is time-limited (like a rect pulse) cannot be strictly band-limited (its spectrum extends to infinity). Therefore, some aliasing is theoretically unavoidable, though often negligible.