sampling frequency - Definition. Was ist sampling frequency
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Was (wer) ist sampling frequency - definition

MEASUREMENT OF A SIGNAL AT DISCRETE TIME INTERVALS
Data Compression/sampling frequency; Sampling rate; Digital audio sample; Sample rate; Digital sample; Digital samples; Sample time; Sample (signal); Sampling Frequency; Sampling (information theory); Digital audio samples; Sampler (signal); Sample frequency; 16-bit sample; Sampling interval; Digital audio sampling and dither; Sampling frequency; Sampling frequencies; Super-Nyquist sampling; Ms/s; Sampling period; Sample interval; Sampe rate; Audio sampling rate; I/Q sampling; Time resolved; Samples per second; Sampling time; Megasample; Kilosample; Sample (signal processing); 3D sampling; Complex sampling; Analog encoding
  • The top two graphs depict Fourier transforms of two different functions that produce the same results when sampled at a particular rate.  The baseband function is sampled faster than its Nyquist rate, and the bandpass function is undersampled, effectively converting it to baseband.  The lower graphs indicate how identical spectral results are created by the aliases of the sampling process.

sampling frequency         
sample rate         
<digital signal processing> The number of times an analog signal is measured (sampled) per second. The unit of sample rate is "samples per second". This is often expressed in kiloHertz (kHz). For example, "CD quality" sound has a sample rate of 44 kHz. Compare data rate. See Nyquist frequency. [Is it correct to use Hertz for things other than the frequency of a sine wave?] (2001-06-06)
Snowball sampling         
NONPROBABILITY SAMPLING TECHNIQUE
Snowball sample; Respondent-driven sampling; Snowball method; Snowballed sample
In sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling (accessed 8 May 2011).Snowball Sampling, Changing Minds.

Wikipedia

Sampling (signal processing)

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 instantaneous value of the continuous signal at the desired points.

The original signal can be reconstructed from a sequence of samples, up to the Nyquist limit, by passing the sequence of samples through a type of low-pass filter called a reconstruction filter.