| 释义 | 
		Definition of Nyquist frequency in English: Nyquist frequency(also Nyquist rate) noun Electronics The minimum rate at which a signal can be sampled without introducing errors, which is twice the highest frequency present in the signal. 〔电子〕奈奎斯特频率 Example sentencesExamples -  We used the Signal-RTS software to digitize the recorded calls (sampling rate: 12500 Hz for the túngara frogs, and 25000 Hz for the cricket frogs, higher than 1.5 times of the Nyquist frequency for all calls recorded).
 -  The Nyquist Frequency corresponds to the highest frequency at which a signal can contain energy and still be compatible with the Sampling Theorem.
 -  But the signal has to be treated with a low-pass filter not higher than half (Nyquist rate) of the sampling frequency, otherwise the reconstruction of the curve from digital data may contain artifacts.
 -  For any outline, the total power is calculated as the sum, from 1 to n, of individual harmonic powers where n is equal to the Nyquist frequency.
 -  This frequency limit is known as the Nyquist frequency.
 
    Definition of Nyquist frequency in US English: Nyquist frequency(also Nyquist rate) noun Electronics The minimum rate at which a signal can be sampled without introducing errors, which is twice the highest frequency present in the signal. 〔电子〕奈奎斯特频率 Example sentencesExamples -  We used the Signal-RTS software to digitize the recorded calls (sampling rate: 12500 Hz for the túngara frogs, and 25000 Hz for the cricket frogs, higher than 1.5 times of the Nyquist frequency for all calls recorded).
 -  For any outline, the total power is calculated as the sum, from 1 to n, of individual harmonic powers where n is equal to the Nyquist frequency.
 -  This frequency limit is known as the Nyquist frequency.
 -  But the signal has to be treated with a low-pass filter not higher than half (Nyquist rate) of the sampling frequency, otherwise the reconstruction of the curve from digital data may contain artifacts.
 -  The Nyquist Frequency corresponds to the highest frequency at which a signal can contain energy and still be compatible with the Sampling Theorem.
 
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