This simulation demonstrates the effects of sampling rate on analog signals. The top waveform (purple) represents the original continuous triangular signal, while the other waveforms show sampled versions at different frequencies — 1 kHz (green), 500 Hz (orange), and 250 Hz (red). As the sampling rate decreases, the reconstructed waveform becomes more distorted and loses accuracy, illustrating aliasing and quantization effects. A higher sampling rate captures more signal details, producing a wav

This simulation demonstrates a signal sampling circuit using a MOSFET as a switch. The green waveform represents the original continuous sine wave input, while the red waveform shows the sampled version of the signal. A clock pulse of 1 Hz is applied to the MOSFET gate, causing it to periodically connect and disconnect the input signal to the output. As a result, the output consists of discrete samples of the sine wave at intervals defined by the clock frequency. This illustrates the fundamental

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