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  2. The fast Fourier transform (FFT) frequency spectrum of a discrete time signal can be divided into an infinite number of f SAMP /2 frequency bands, also known as Nyquist zones. The frequency spectrum between DC and f SAMP /2 is known as the first Nyquist zone. The frequency spectrum repeats itself over different Nyquist zones.
    www.analog.com/en/resources/design-notes/folded…
    Simply stated, the Nyquist criterion requires that the sampling frequency be at least twice the highest frequency contained in the signal, or information about the signal will be lost. If the sampling frequency is less than twice the maximum analog signal frequency, a phenomenon known as aliasing will occur.
    www.analog.com/media/en/training-seminars/tutori…
    This half-sampling-rate limit, named the Nyquist frequency, serves to divide the spectrum into equal sized segments called Nyquist zones. The first Nyquist zone extends from dc to f S /2, the second Nyquist zone occupies the spectrum between f S /2 and f S, and so on. In reality, samplers alias signals across all Nyquist zones.
    www.analog.com/en/resources/technical-articles/u…
    Every Fs/2 zone starting from DC to Fs/2 is called the Nyquist Zone. The first Nyquist Zone is from DC to Fs/2, the second Nyquist Zone is from Fs/2 to Fs, and the third Nyquist Zone is from Fs to 3Fs/2, and so on.
    www.ti.com/lit/an/slaa594a/slaa594a.pdf
     
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  4. Nyquist frequency - Wikipedia

  5. SSZTCF7 Technical article | TI.com - Texas Instruments

    The first Nyquist zone represents the maximum sample bandwidth, which is equal to the sampling rate, Fs, divided by two. The higher Nyquist zones represent the adjacent spectrum bands with equivalent bandwidth.

  6. The Nyquist–Shannon Theorem: Understanding …

    May 6, 2020 · The Nyquist sampling theorem, or more accurately the Nyquist-Shannon theorem, is a fundamental theoretical principle that governs the design of mixed-signal electronic systems.

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