This simulation demonstrates the concept of ADC (Analog-to-Digital Converter) sampling rates and how they affect the representation of an analog signal. The analog input is sampled at different frequencies—500 Hz, 1 kHz, and 2 kHz—using clock signals. As shown in the waveforms, higher sampling rates capture more details of the original signal, producing a smoother digital output, while lower sampling rates capture fewer points, leading to a more distorted and stair-stepped output. This illustrat

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 sampling rate affects the reconstruction of a waveform. At the top, the smooth triangular input signal is shown. Below it, three reconstructed signals are displayed using different sampling rates: 1 kHz, 500 Hz, and 250 Hz. The 1 kHz sampling rate produces the closest approximation, with many small steps that follow the original shape accurately. When the sampling rate drops to 500 Hz, the reconstructed waveform becomes more blocky and begins to lose detail, show