BI2010 M1-M3

What is the definition of a system in the context of biomedical engineering?

• A measurement that includes both the signal's variability and its average

• A specific type of transducer that converts non-electrical energy into an electrical signal

• A device that converts energy from one form to another

• A collection of processes or components that interact for some common purpose

Which type of energy is associated with the measurement of body temperature?

• Thermal

• Electrical

• Mechanical

• Chemical

What is the main advantage of expressing ratios in decibels?

• They provide a measurement of the effective power or ratio

• They compress the range of values

• All of the above

• They are similar to human perception

What is the formal mathematical definition of a periodic signal?

• A signal that repeats exactly after a certain time period

• A signal that is symmetric with respect to the time origin

• A signal that has a unity area over an infinitesimal time interval

• A signal that is antisymmetric with respect to the time origin

What is the purpose of adding more sinusoids in the Fourier series summation?

• To reduce the number of oscillations

• To introduce Gibbs artifacts

• To improve the representation of the signal

• To decrease the accuracy of the signal representation

What is the relationship between a signal and its Fourier transform?

• The signal is the Fourier transform

• The Fourier transform is the signal

• They are two different representations of the same information

• There is no relationship between them

What is the definition of a signal in the context of biomedical engineering?

• A measurement that includes both the signal's variability and its average

• A specific type of transducer that converts non-electrical energy into an electrical signal

• A device that converts energy from one form to another

• An information-carrying function that varies with time, space, or any other independent variable

Why is the Fourier transform of a signal often used in signal processing?

• To confuse the representation of the signal

• To introduce artifacts in the signal

• To provide a different perspective on the signal

• To analyze the signal in the frequency domain

What is the significance of the Nyquist sampling theorem in signal processing?

• It determines the maximum frequency that can be accurately represented in a digital signal

• It limits the number of samples that can be taken from a signal

• It introduces noise in the signal during sampling

• It is not relevant in digital signal processing

What is the difference between cross-correlation and auto-correlation?

• Cross-correlation measures the similarity between two different signals, while auto-correlation measures the similarity within the same signal

• Auto-correlation is used for frequency analysis, while cross-correlation is used for time-domain analysis

• There is no difference between cross-correlation and auto-correlation

• Cross-correlation is used for periodic signals, while auto-correlation is used for aperiodic signals