This simulation illustrates the effects of different sampling rates on a 100 Hz sine wave signal as it passes through an ADC–DAC system. The top (blue) waveform represents the original smooth sine wave. Below it, the green trace shows the reconstructed output when sampled at 1000 Hz — the waveform is closely matched to the original, with minimal distortion. The orange trace, sampled at 666 Hz, still follows the sine wave shape but with visible “stair-stepping” due to fewer samples per cycle. The
This simulation illustrates the effects of different sampling rates …
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71K views · 948 reactions | This simulation demonstrates the concept...
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71K views · 948 reactions | This simulation demonstrates the conc…
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This simulation illustrates the effects of different sampling rates on an analog signal using ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) circuits. The top purple waveform represents the original analog sinusoidal input signal at 100 Hz. The other three reconstructed waveforms — orange, green, and red — show the DAC outputs for high, medium, and low sampling rates, respectively: Orange waveform → Highest sampling rate: The output closely follows the original analog si
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This simulation illustrates the effects of different sampling rates …
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This simulation demonstrates how varying the sampling rate impacts the fidelity of signal reconstruction in digital systems. At the top, a sine wave is sampled and reconstructed using different ADC (Analog-to-Digital Converter) and DAC (Digital-to-Analog Converter) clock rates. As the sampling rate decreases, the reconstructed signal becomes less accurate, showing clear distortion. This highlights the importance of choosing an appropriate sampling rate—typically governed by the Nyquist theorem—t
This simulation demonstrates how varying the sampling rate impacts …
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How to use ADC in Raspberry Pi Pico | ADC Example Code
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