Sampling

Sampling interval vs sampling frequency

Sampling interval vs sampling frequency
  1. What is a sampling interval?
  2. What is the difference between sampling rate and sampling frequency?
  3. How do you find the sampling interval from sampling frequency?
  4. Is Nyquist rate and sampling frequency same?

What is a sampling interval?

The Sampling interval is the frequency of data collection. For Event-based sampling (EBS), the Sampling interval is used to calculate the target number of samples and the Sample After value. If you change the value of Duration or Sample Interval, the Sample After value is updated automatically.

What is the difference between sampling rate and sampling frequency?

The two are equivalent since the Hertz is equal to the reciprocal second, [Hz]=[s-1]. Hertz is the unit for frequency, and the sample rate is sometimes referred to as the sampling frequency. Sample rate and sampling frequency represent the same value.

How do you find the sampling interval from sampling frequency?

The sampling period is the time difference between two consecutive samples in a Sound. It is the inverse of the sampling frequency. For example: if the sampling frequency is 44100 Hz, the sampling period is 1/44100 = 2.2675736961451248e-05 seconds: the samples are spaced approximately 23 microseconds apart.

Is Nyquist rate and sampling frequency same?

The Nyquist rate is 2x the given frequency to be measured accurately. The theorem can be used in reverse. The Nyquist frequency is the highest frequency that equipment of a given sample rate can reliably measure, one-half the given sample rate. The Nyquist theorem is an important part of information theory.

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