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Module 2: Signal Conditioning Systems

20267m

Explain sampling and aliasing. Discuss the role of anti-aliasing prefilters and compare first-order and second-order filters.

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Sampling and Aliasing

Sampling converts a continuous signal into discrete values taken every Ts=1/fsT_s = 1/f_s seconds.

Nyquist theorem: fs≥2fmaxf_s \ge 2 f_{max}. If fs<2fmaxf_s < 2f_{max}, higher frequencies fold back as false lower frequencies. This is aliasing, and it cannot be removed after sampling. Alias frequency: fa=∣f−nfs∣f_a = |f - n f_s|.

Example: a 700 Hz signal sampled at 1000 Hz appears as 300 Hz.

SVGVector Architecture Diagram (SVG)
Aliasing: undersampled signal looks like a slow waveBlue: true signal. Red dots: samples. Red dashed: false (alias) signal

Anti-aliasing prefilter

A low-pass filter placed before the ADC removes frequency components above fs/2f_s/2, so aliasing cannot occur. Cut-off is set at or slightly below fs/2f_s/2.

MermaidDiagram
Rendering diagram…

First-order vs second-order filter

Point First order Second order
Roll-off 20 dB per decade 40 dB per decade
Components One R and one C Two R, two C (or op-amp stage)
Cut-off sharpness Gradual Sharper
Aliasing rejection Poor, needs high fsf_s Better
Complexity Simple Moderate
Use Basic smoothing Practical anti-aliasing

Exam tip

State Nyquist, give the alias formula and place the filter before the ADC in the diagram.

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