Sampling Theory Explained | Basics, Waveforms, Frequency Spectrum, Aliasing Effect and Nyquist Rate
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Sampling Theory Explained | Basics, Waveforms, Frequency Spectrum, Aliasing Effect and Nyquist Rate
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YouTubeEngineering Funda
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.
0:17
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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