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  2. Autocorrelation - Wikipedia

    en.wikipedia.org/wiki/Autocorrelation

    The normalization is important both because the interpretation of the autocorrelation as a correlation provides a scale-free measure of the strength of statistical dependence, and because the normalization has an effect on the statistical properties of the estimated autocorrelations.

  3. Optical autocorrelation - Wikipedia

    en.wikipedia.org/wiki/Optical_autocorrelation

    Classification of the different kinds of optical autocorrelation. In optics, various autocorrelation functions can be experimentally realized. The field autocorrelation may be used to calculate the spectrum of a source of light, while the intensity autocorrelation and the interferometric autocorrelation are commonly used to estimate the duration of ultrashort pulses produced by modelocked lasers.

  4. Geary's C - Wikipedia

    en.wikipedia.org/wiki/Geary's_C

    Geary's C is a measure of spatial autocorrelation that attempts to determine if observations of the same variable are spatially autocorrelated globally (rather than at the neighborhood level). Spatial autocorrelation is more complex than autocorrelation because the correlation is multi-dimensional and bi-directional.

  5. Moran's I - Wikipedia

    en.wikipedia.org/wiki/Moran's_I

    I is the Global Moran's I measuring global autocorrelation, I i is local, and N is the number of analysis units on the map. LISAs can be calculated in GeoDa and ArcGIS Pro which uses the Local Moran's I, [5] [6] proposed by Luc Anselin in 1995. [7]

  6. Correlogram - Wikipedia

    en.wikipedia.org/wiki/Correlogram

    A plot showing 100 random numbers with a "hidden" sine function, and an autocorrelation (correlogram) of the series on the bottom. In the analysis of data, a correlogram is a chart of correlation statistics.

  7. Correlation function - Wikipedia

    en.wikipedia.org/wiki/Correlation_function

    Correlation functions are a useful indicator of dependencies as a function of distance in time or space, and they can be used to assess the distance required between sample points for the values to be effectively uncorrelated. In addition, they can form the basis of rules for interpolating values at points for which there are no observations.

  8. Frequency-resolved optical gating - Wikipedia

    en.wikipedia.org/wiki/Frequency-resolved_optical...

    FROG is simply a spectrally resolved autocorrelation, which allows the use of a phase-retrieval algorithm to retrieve the precise pulse intensity and phase vs. time. It can measure both very simple and very complex ultrashort laser pulses, and it has measured the most complex pulse ever measured without the use of a reference pulse.

  9. Autocorrelator - Wikipedia

    en.wikipedia.org/wiki/Autocorrelator

    Calibration Factor-- the factor to convert real-time to pulse delay time when viewing the output of the autocorrelator.One example of this would be 30 ps/ms in the Coherent Model FR-103 scanning autocorrelator, which suggests that a 30 ps pulse autocorrelation width would produce a 1 ms FWHM trace when viewed on an oscilloscope.