Q. In a discrete-time signal, what does the term 'aliasing' refer to?
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A.
Loss of signal strength
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B.
Distortion of the signal due to insufficient sampling
-
C.
The process of filtering a signal
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D.
The conversion of a signal from analog to digital
Solution
Aliasing occurs when a signal is sampled at a rate lower than twice its highest frequency, causing different signals to become indistinguishable.
Correct Answer:
B
— Distortion of the signal due to insufficient sampling
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Q. In digital signal processing, what is aliasing?
-
A.
Loss of data during transmission
-
B.
Distortion that occurs when a signal is undersampled
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C.
The process of converting digital to analog
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D.
A method of noise reduction
Solution
Aliasing occurs when a signal is undersampled, causing different signals to become indistinguishable from one another in the sampled data.
Correct Answer:
B
— Distortion that occurs when a signal is undersampled
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Q. In the context of DSP, what does FFT stand for?
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A.
Fast Fourier Transform
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B.
Frequency Filter Technique
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C.
Fast Filter Transform
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D.
Fourier Frequency Transform
Solution
FFT stands for Fast Fourier Transform, which is an efficient algorithm to compute the Discrete Fourier Transform (DFT).
Correct Answer:
A
— Fast Fourier Transform
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Q. In the context of DSP, what does the term 'windowing' refer to?
-
A.
The process of filtering a signal
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B.
The technique of segmenting a signal for analysis
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C.
The conversion of a signal from analog to digital
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D.
The adjustment of signal amplitude
Solution
Windowing refers to the technique of segmenting a signal into smaller parts for analysis, often used in FFT applications.
Correct Answer:
B
— The technique of segmenting a signal for analysis
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Q. What does the term 'sampling rate' refer to in digital signal processing?
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A.
The number of bits used to represent each sample
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B.
The frequency at which a signal is sampled
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C.
The duration of each sample
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D.
The total number of samples in a signal
Solution
The sampling rate is the frequency at which an analog signal is sampled to convert it into a digital signal.
Correct Answer:
B
— The frequency at which a signal is sampled
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Q. What does the term 'sampling rate' refer to?
-
A.
The number of bits per sample
-
B.
The frequency at which a signal is sampled
-
C.
The duration of each sample
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D.
The total number of samples taken
Solution
The sampling rate is the frequency at which an analog signal is sampled to convert it into a digital signal.
Correct Answer:
B
— The frequency at which a signal is sampled
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Q. What is aliasing in digital signal processing?
-
A.
Loss of data during transmission
-
B.
Distortion caused by insufficient sampling rate
-
C.
Error in quantization
-
D.
Interference from other signals
Solution
Aliasing occurs when a signal is sampled at a rate lower than twice its highest frequency, causing different signals to become indistinguishable.
Correct Answer:
B
— Distortion caused by insufficient sampling rate
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Q. What is quantization in the context of digital signal processing?
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A.
The process of sampling a signal
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B.
The process of converting a continuous signal into a discrete signal
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C.
The process of rounding off values to a finite set of levels
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D.
The process of filtering a signal
Solution
Quantization is the process of mapping a continuous range of values into a finite range of discrete values.
Correct Answer:
C
— The process of rounding off values to a finite set of levels
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Q. What is the main advantage of using an FIR filter over an IIR filter?
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A.
FIR filters are easier to implement
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B.
FIR filters can have a linear phase response
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C.
FIR filters require less computational power
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D.
FIR filters are always more efficient
Solution
FIR filters can be designed to have a linear phase response, which preserves the wave shape of filtered signals.
Correct Answer:
B
— FIR filters can have a linear phase response
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Q. What is the Nyquist theorem related to?
-
A.
The maximum frequency of a signal
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B.
The minimum sampling rate to avoid aliasing
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C.
The bandwidth of a digital filter
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D.
The energy of a signal
Solution
The Nyquist theorem states that to avoid aliasing, a signal must be sampled at least twice its maximum frequency.
Correct Answer:
B
— The minimum sampling rate to avoid aliasing
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Q. What is the primary function of a digital-to-analog converter (DAC)?
-
A.
To sample an analog signal
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B.
To convert digital signals into analog signals
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C.
To filter digital signals
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D.
To amplify analog signals
Solution
A DAC converts digital signals back into analog signals, allowing digital data to be represented in a form that can be used by analog devices.
Correct Answer:
B
— To convert digital signals into analog signals
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Q. What is the primary purpose of a digital filter?
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A.
To amplify signals
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B.
To remove unwanted frequencies
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C.
To convert analog signals to digital
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D.
To sample signals
Solution
Digital filters are designed to remove unwanted frequencies from a signal, allowing only the desired frequencies to pass through.
Correct Answer:
B
— To remove unwanted frequencies
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Q. What is the purpose of windowing in digital signal processing?
-
A.
To increase the sampling rate
-
B.
To reduce spectral leakage
-
C.
To amplify the signal
-
D.
To convert signals to the time domain
Solution
Windowing is used to reduce spectral leakage when performing a Fourier transform by tapering the edges of the signal.
Correct Answer:
B
— To reduce spectral leakage
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Q. What is the Z-transform used for in digital signal processing?
-
A.
To analyze continuous-time signals
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B.
To convert time-domain signals into frequency-domain
-
C.
To analyze discrete-time signals
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D.
To filter noise from signals
Solution
The Z-transform is used to analyze discrete-time signals and systems, providing a way to work in the frequency domain.
Correct Answer:
C
— To analyze discrete-time signals
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Q. Which of the following describes a zero-crossing detector?
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A.
A device that measures amplitude
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B.
A device that detects frequency
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C.
A device that detects when a signal crosses zero voltage
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D.
A device that amplifies signals
Solution
A zero-crossing detector identifies points where the signal crosses the zero voltage level, which is useful for timing and synchronization.
Correct Answer:
C
— A device that detects when a signal crosses zero voltage
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Q. Which of the following describes the Nyquist theorem?
-
A.
Signals can be reconstructed if sampled at twice the highest frequency
-
B.
Signals can be amplified without distortion
-
C.
Signals can be compressed without loss
-
D.
Signals can be filtered without delay
Solution
The Nyquist theorem states that a signal can be accurately reconstructed if it is sampled at a rate greater than twice its highest frequency.
Correct Answer:
A
— Signals can be reconstructed if sampled at twice the highest frequency
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Q. Which of the following is a common application of the Fast Fourier Transform (FFT)?
-
A.
Image compression
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B.
Audio signal analysis
-
C.
Data encryption
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D.
Error detection
Solution
The FFT is widely used in audio signal analysis to convert time-domain signals into their frequency-domain representation.
Correct Answer:
B
— Audio signal analysis
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Q. Which of the following is a common method for implementing digital filters?
-
A.
Fourier Transform
-
B.
Z-Transform
-
C.
Laplace Transform
-
D.
Wavelet Transform
Solution
The Z-Transform is commonly used for analyzing and designing digital filters in the discrete-time domain.
Correct Answer:
B
— Z-Transform
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Q. Which of the following is NOT a type of digital filter?
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A.
FIR Filter
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B.
IIR Filter
-
C.
Analog Filter
-
D.
All-Pass Filter
Solution
Analog filters are not digital filters; FIR, IIR, and All-Pass filters are all types of digital filters.
Correct Answer:
C
— Analog Filter
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