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  2. Nyquist rate - Wikipedia

    en.wikipedia.org/wiki/Nyquist_rate

    Fig 1: Typical example of Nyquist frequency and rate. They are rarely equal, because that would require over-sampling by a factor of 2 (i.e. 4 times the bandwidth). In signal processing , the Nyquist rate , named after Harry Nyquist , is a value equal to twice the highest frequency ( bandwidth ) of a given function or signal.

  3. Nyquist frequency - Wikipedia

    en.wikipedia.org/wiki/Nyquist_frequency

    Early uses of the term Nyquist frequency, such as those cited above, are all consistent with the definition presented in this article.Some later publications, including some respectable textbooks, call twice the signal bandwidth the Nyquist frequency; [6] [7] this is a distinctly minority usage, and the frequency at twice the signal bandwidth is otherwise commonly referred to as the Nyquist rate.

  4. Nyquist–Shannon sampling theorem - Wikipedia

    en.wikipedia.org/wiki/Nyquist–Shannon_sampling...

    The theorem states that the sample rate must be at least twice the bandwidth of the signal to avoid aliasing. In practice, it is used to select band-limiting filters to keep aliasing below an acceptable amount when an analog signal is sampled or when sample rates are changed within a digital signal processing function.

  5. Oversampling - Wikipedia

    en.wikipedia.org/wiki/Oversampling

    The Nyquist rate is defined as twice the bandwidth of the signal. Oversampling is capable of improving resolution and signal-to-noise ratio, and can be helpful in avoiding aliasing and phase distortion by relaxing anti-aliasing filter performance requirements. A signal is said to be oversampled by a factor of N if it is sampled at N times the ...

  6. Nyquist ISI criterion - Wikipedia

    en.wikipedia.org/wiki/Nyquist_ISI_criterion

    In communications, the Nyquist ISI criterion describes the conditions which, when satisfied by a communication channel (including responses of transmit and receive filters), result in no intersymbol interference or ISI. It provides a method for constructing band-limited functions to overcome the effects of intersymbol interference.

  7. Dielectric spectroscopy - Wikipedia

    en.wikipedia.org/wiki/Dielectric_spectroscopy

    Some examples are the assessment of food–package interactions, [22] the analysis of milk composition, [23] the characterization and the determination of the freezing end-point of ice-cream mixes, [24] [25] the measure of meat ageing, [26] the investigation of ripeness and quality in fruits [27] [28] [29] and the determination of free acidity ...

  8. Normalized frequency (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Normalized_frequency...

    Example of plotting samples of a frequency distribution in the unit "bins", which are integer values. A scale factor of 0.7812 converts a bin number into the corresponding physical unit (hertz). A common practice is to sample the frequency spectrum of the sampled data at frequency intervals of f s N , {\displaystyle {\tfrac {f_{s}}{N}},} for ...

  9. Multidimensional sampling - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_sampling

    This interpolation formula is the higher-dimensional equivalent of the Whittaker–Shannon interpolation formula. As an example suppose that Ω {\displaystyle \Omega } is a circular disc. Figure 3 illustrates the support of f ^ s ( ⋅ ) {\displaystyle {\hat {f}}_{s}(\cdot )} when the conditions of the Petersen-Middleton theorem are met.