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This simulation demonstrates the principle of signal sampling and how sampling frequency affects the representation of an analog signal. The top waveform is a smooth sinusoidal input, representing a continuous-time analog signal. Below it, the stepped waveforms show the sampled versions of the same signal at different clock frequencies. When the sampling frequency is high (1 kHz), the sampled signal closely follows the original waveform, preserving its shape and amplitude information accurately.
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This simulation demonstrates the principle of signal sampling and how sampling frequency affects the representation of an analog signal. The top waveform is a smooth sinusoidal input, representing a continuous-time analog signal. Below it, the stepped waveforms show the sampled versions of the same signal at different clock frequencies. When the sampling frequency is high (1 kHz), the sampled signal closely follows the original waveform, preserving its shape and amplitude information accurately.
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This simulation demonstrates the effects of different sampling rates on a signal. At the top, a triangular waveform is used as the input reference, and below it, sampled versions are shown at different clock frequencies: 1 kHz, 500 Hz, and 250 Hz. When the sampling frequency is high (1 kHz), the reconstructed waveform closely follows the original triangular shape with finer steps, preserving its characteristics. At 500 Hz, the sampled output becomes more blocky, with fewer steps, causing a visib
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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
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