General

How is the sampling rate related to the sampling frequency?

How is the sampling rate related to the sampling frequency?

Sampling rate (sometimes called sampling frequency or Fs) is the number of data points acquired per second. A sampling rate of 2000 samples/second means that 2000 discrete data points are acquired every second. The inverse of sampling frequency (Fs) is the sampling interval or Δt.

What happens when the sampling rate is less than 2 Hz?

When the sampling rate is not large enough (not larger than 2B Hz), then interference among adjacent bands will occur, and this results in the phenomenon of aliasing. In this case, the original signal cannot be recovered from the sampled signal.

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What is the Nyquist frequency of the sampling?

F/2
The Nyquist-Shannon sampling theorem (Nyquist) states that a signal sampled at a rate F can be fully reconstructed if it contains only frequency components below half that sampling frequency: F/2. This frequency is known as the Nyquist frequency and is shown in the figures below.

How do you calculate bandwidth sample rate?

Starts here1:53Calculating Sampling Rate and Interval for a given Maximum …YouTube

What is sampling rate formula?

The sampling frequency or sampling rate, fs, is the average number of samples obtained in one second, thus fs = 1/T. Its units are samples per second or hertz e.g. 48 kHz is 48,000 samples per second.

What happens if sampling rate exceeds and less than Nyquist rate?

As the sampling frequency decreases, the signal separation also decreases. When the sampling frequency drops below the Nyquist rate, the frequencies will crossover and cause aliasing.

What is the Nyquist theorem formula?

Nyquist sampling (f) = d/2, where d=the smallest object, or highest frequency, you wish to record. The Nyquist Theorem states that in order to adequately reproduce a signal it should be periodically sampled at a rate that is 2X the highest frequency you wish to record.

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How do you calculate Nyquist rate?

Starts here7:27Nyquist Rate (Solved Problem 1) – YouTubeYouTube