Nyquist's theorem states that. It establishes a sufficient condition for a sample rate that permits a discrete sequence of samples to capture all the information from a continuous-time signal. In practice, analog signals usually have complex waveforms, with components at many frequencies. The highest frequency component in an analog signal determines. The Nyquist sampling theorem, or more accurately the Nyquist-Shannon theorem, is a fundamental theoretical principle that governs the design of. The sampling rate must be “equal to, or greater than, twice the highest frequency component in the analog signal.” (If you're all about seeing. Nyquist criterion applies to baseband sampling, undersampling, and oversampling almost all sampling ADC applications to remove these unwanted signals. The Nyquist Theorem states that in order to adequately reproduce a signal it should be periodically sampled at a rate that is 2X the highest frequency you wish. It is sometimes useful to state the Nyquist theorem in a different way. Sup- pose we have a certain bandlimited signal with a maximum frequency fmax. The. Nyquist rate -- For lossless digitization, the sampling rate should be at least twice the maximum frequency responses. Indeed many times more the better. The concept behind digitizing sound. Working at Bell Labs, Harry Nyquist discovered that it was not necessary to capture the entire analog waveform.
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