BI2005B Sampling and reconstruction

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Other
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University
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Medium
Luis Montesinos
Used 2+ times
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What is the primary purpose of analog-to-digital conversion (ADC)?
To convert digital signals into analog signals
To convert continuous analog signals into discrete digital values
To enhance the quality of biomedical signals
To transmit data wirelessly
2.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
Which of the following best describes quantization in the context of ADC?
The process of converting digital data to analog signals
The process of rounding analog signals to the nearest integer value
The process of converting continuous analog signals into discrete digital values
The process of filtering out high-frequency noise in digital signals
3.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What is the significance of the sampling rate in analog to digital conversion?
It determines the size of the digital-to-analog converter (DAC) used.
It defines the number of bits in the digital output.
It specifies the speed at which analog signals are measured and converted.
It controls the voltage levels of the analog signals.
4.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
Which term refers to the number of discrete values or levels in the digital output of an ADC?
Resolution
Sampling rate
Frequency
Amplitude
5.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What is the Nyquist-Shannon sampling theorem?
It specifies that a signal can be accurately sampled at any rate, regardless of its frequency.
It only applies to digital signals and is not relevant to analog signals.
It pertains exclusively to audio signals.
It states that a signal can be perfectly reconstructed from its samples if the sampling rate is greater than or equal to twice the signal's maximum frequency.
6.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
In signal processing, what is aliasing?
The process of converting analog signals into digital form.
When a signal is sampled at a rate lower than the Nyquist rate, leading to distorted or incorrect representation of the original signal.
The process of amplifying high-frequency components of a signal.
A technique used to increase the resolution of sampled signals.
7.
MULTIPLE CHOICE QUESTION
30 sec • 5 pts
What is the purpose of anti-aliasing filters in signal processing?
To remove low-frequency components from a signal.
To eliminate noise from a signal.
To prevent aliasing by removing high-frequency components from a signal before it's sampled.
To increase the sampling rate of a signal.
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