📌In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples". A sample is a value of the signal at a point in time and/or space; this definition differs from the term's usage in statistics, which refers to a set of such values. A sampler is a subsystem or operation that extracts samples from a continuous signal. A theoretical ideal sampler produces samples equivalent to the i
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📌In signal processing, sampling is the reduction of a continuous-time signal to a discrete-time signal. A common example is the conversion of a sound wave to a sequence of "samples". A sample is a value of the signal at a point in time and/or space; this definition differs from the term's usage in statistics, which refers to a set of such values. A sampler is a subsystem or operation that extracts samples from a continuous signal. A theoretical ideal sampler produces samples equivalent to the i
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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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