BI2005B Sampling and reconstruction

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

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

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.

Which term refers to the number of discrete values or levels in the digital output of an ADC?

• Resolution

• Sampling rate

• Frequency

• Amplitude

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.

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.

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.