The maximum signal frequency allowed in a sampling process before the reconstructed signal is aliased, or 1/2 the sampling frequency.
Terms used in connection with sampling. Named after Harry Nyquist (Don't forget however the names of Whittaker, Kotelnikov and many others). The Nyquist rate is considered the minimum sampling frequency for correct digital reproduction of a given signal. Synonyms: Nyquist Limit; Nyquist Rate
(telecommunication) twice the maximum frequency occurring in the transmitted signal
To accurately represent an analog signal with samples, requires that the original signal's highest frequency be less than ½ the sampling frequency or alternatively, the Nyquist theorem sampling rate must be at least twice the analog signal frequency.
The highest resolvable frequency in a digital wave record. Frequencies above the Nyquist frequency appear as lower frequencies.
The highest frequency that may be accurately sampled. The Nyquist frequency is one-half the sampling frequency.
half the sampling rate, the frequency above which data acquisition fails because samples of higher frequency signal components appear in the data stream as if sampled from lower frequency components that do not, in fact, exist: alias frequencies O - P - Q
A term widely used in information theory, but here applies to the highest frequency, shortest wavelength, that can be identified in an interferogram. It is the one for which there are exactly two points per cycle. The contribution of any higher frequency, signal or noise, can be represented by some lower frequency and so will appear aliased or folded into the spectrum.
Digital signal processing requires analog to digital conversion of the input signal. The first step in AtoD conversion is to sample the instantaneous amplitude of the signal at specific times determined by the sampling rate. If the signal contains changes in information at frequencies more than half the sampling rate, the signal will be sampled incorrectly, and the samples will contain spurious components know as Aliasing. The theoretical maximum frequency that can be correctly sampled is half the sampling rate and is called the Nyquist frequency. To avoid aliasing, the sampling rate must be significantly greater than twice the highest frequency present in the signal.
Nyquist frequency is the maximum frequency that can be applied to an ADC's input with no aliasing effects ( see also Aliasing/Anti-Aliasing). The Nyquist frequency is defined as: fSAMPLE fIN
The Nyquist principle states that, to allow an analog signal to be completely represented with no aliasing effects, the ADC's sampling rate must be at least twice the maximum bandwidth of the signal. This maximum bandwidth is called the Nyquist frequency.
the highest frequency that any given digital audio system can capture. Defined as one half the sampling rate of that system.
theoretically, the minimum sampling frequency for a given signal frequency of interest. This is double the signal frequency. For example, to measure a 10 Hz signal, theoretically you would have to sample at 20 samples/sec. In practice, a ratio of 10:1 is advisable (in this example, 100 Hz).
When an analog signal is sampled at a rate more than twice that of its highest frequency component, it can be properly reconstructed when reconverted back to the analog domain. The required sampling rate is called the Nyquist frequency.
The highest frequency that can be reproduced accurately when a signal is digitally encoded at a given sample rate. Theoretically, the Nyquist frequency is half of the sampling rate. For example, when a digital recording uses a sampling rate of 44.1kHz, the Nyquist frequency is 22.050kHz. If a signal being sampled contains frequency components that are above the Nyquist limit, aliasing will be introduced in the digital representation of the signal unless those frequencies are filtered out prior to digital encoding. See aliasing, brick-wall filter.
The lowest sampling frequency that can be used for analog-to-digital conversion of a signal without resulting in significant aliasing. Normally, this frequency is twice the rate of the highest frequency contained in the signal being sampled. Also called Nyquist rate.
The highest frequency which can be determined in a Fourier analysis of a discrete sampling of data. If a time series is sampled at interval Δt, this frequency is 1/2 Δt cycles per second. Also called turnover frequency.
The Nyquist frequency, named after Harry Nyquist or the Nyquist–Shannon sampling theorem, is half the sampling frequency of a discrete signal processing system. It is sometimes called the critical frequency. The sampling theorem tells us that aliasing can be avoided if the Nyquist frequency is greater than the bandwidth, or maximum frequency, of the signal being sampled.