Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.
Explores sampling signals and their spectrum, highlighting the significance of choosing the right sampling frequency for accurate signal representation.
Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.
Covers bandpass sampling for signals with limited frequency range, ensuring information preservation through proper sampling techniques.
Compares lab-based measurement systems with body-worn sensors for daily life monitoring, discussing their advantages and limitations.
