Nyquist Theorem
A core theorem in signal processing stating that the sampling rate must be at least twice the highest frequency of a signal to reconstruct the original signal without distortion. Half the sampling rate is the upper limit of the highest representable frequency.
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According to the Nyquist theorem, the sample rate must be at least twice the highest frequency of the signal in order to reconstruct the original signal without distortion.
The Nyquist theorem requires a sampling rate of at least twice the highest frequency of the signal; an improperly set sampling rate causes high-frequency components to fold over and create aliasing noise.
The main frequency range of bird calls is typically 1–8 kHz, with some high-pitched species reaching above 10 kHz; an 8 kHz sampling rate is limited by the Nyquist theorem to restoring only frequencies below 4 kHz, causing identification failures for high-pitched bird species.
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According to the Nyquist theorem, the sample rate must be at least twice the highest frequency of the signal in order to reconstruct the original signal without distortion.
50%UnverifiedThe Nyquist theorem requires a sampling rate of at least twice the highest frequency of the signal; an improperly set sampling rate causes high-frequency components to fold over and create aliasing noise.
50%UnverifiedThe main frequency range of bird calls is typically 1–8 kHz, with some high-pitched species reaching above 10 kHz; an 8 kHz sampling rate is limited by the Nyquist theorem to restoring only frequencies below 4 kHz, causing identification failures for high-pitched bird species.
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