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 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

This simulation illustrates the process of signal conversion from analog to digital (ADC), followed by digital to analog conversion (DAC) and filtering. The staircase waveform (blue) represents the DAC output, while the smooth curve (orange) shows the result after applying a low-pass filter, effectively reconstructing the original sine wave. This highlights how filters are essential in removing quantization noise and restoring clean analog signals from sampled data. #ElectronicsEducation #electr