Sample at more than twice the highest frequency to avoid aliasing.
A band-limited signal with highest frequency f_max can be perfectly reconstructed if sampled at f_s>2f_max. Below this, aliasing folds frequencies into the baseband. Oversampling and anti-alias filters relieve requirements.
Audio CDs sample at 44.1 kHz to capture up to 20 kHz.
The sampling theorem sets the minimum rate to capture a signal, so it determines the sensor and ADC rates a design needs.
Sample at more than twice the highest frequency to avoid aliasing.
The sampling theorem sets the minimum rate to capture a signal, so it determines the sensor and ADC rates a design needs.
Twice the highest frequency in the signal, the minimum rate needed to reconstruct it without aliasing.
Real anti-alias filters are not ideal, so they need a margin, often a sampling rate several times the signal bandwidth.
Typical applications include choosing a sampling rate of at least 2 kHz for a 800 Hz vibration signal, checking that an anti-alias filter is needed before an ADC and setting the sampling rate for an audio recording device.
Study "DAC" first (topic 50 of 104 in Electronics & Embedded). It covers the groundwork this topic builds on.
Nyquist frequency f_s/2. Reconstruction via sinc interpolation. Bandpass sampling.
Audio CDs sample at 44.1 kHz to capture up to 20 kHz.
The next topic is "Hardware description languages", which builds directly on this one.
It is classed as Intermediate in Electronics & Embedded (topic 51 of 104). It is an intermediate topic. Work through the beginner topics in Electronics & Embedded first.
Want to practise? Open the interactive course for quick checks, quizzes, simulations and progress tracking.