Find Correlation Length of Auto-Correlation

In summary, there are various ways to define the correlation length of an auto-correlation. It can be measured as the distance to the first zero, min, or max of the auto-correlation function, or as the full width at half max. In optics, it is often defined as the standard deviation of the Gaussian spatial autocorrelation, while for exponentially decaying quantities it is defined as the distance at which the field or current decays to 1/e of its original value. Woodward introduced a different definition in terms of the autocorrelation function and the power spectrum.
  • #1
Shaddyab
19
0
How can I find the correlation length of an auto-correlation?

Is it the distance to the first zero of the auto-correlation?
Is it the distance to the first min. of the auto-correlation?
Is it the distance to the first max. of the auto-correlation?

or should I integrate?

Thank you
 
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  • #2
It is often defined as the width between half-power points. Square the autocorrelation function and measure the width halfway down from the peak. You will also see this referred to as the full width at half max (FWHM).

(Equivalently you could measure the width between the sqrt(2) high points of the unsquared autocorrelation function.)
 
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  • #3
I should point out that definitions differ depending on the application, and other definitions may be more useful to you. In optics where Gaussian beams are common, the coherence length is often defined as the standard deviation of the Gaussian spatial autocorrelation. The standard deviation is also taken as the coherence bandwidth of a Lorentzian line.

For exponentially decaying quantities (attenuation of light passing through a lossy medium, attenuation of waves penetrating a conductor, etc.), the coherence length is defined as the distance at which the field or current decays to 1/e of its original value. These lengths go by names like optical depth, skin depth, Debye length.

Woodward (who first applied information theory applied to radar detection) introduced a different definition of coherence time that has been widely used. Consider a function u and its Fourier transform U. If u is finite energy and normalized such that
[tex]\int{|u(t)|^2 dt}=1[/tex]
then the coherence time tau may be defined in terms of the autocorrelation function rho of u by
[tex]\tau=\int{|\rho|^2 dt}[/tex]
Since rho is the inverse transform of the power spectrum |U|^2 by the Wiener-Khinchin theorem, we have equivalently
[tex]\tau=\int{|U|^4 df}[/tex]
This definition has also been adopted in optics and other fields as well. (Note that these results apply coherence length by substituting the variable x for t).
 

1. What is the correlation length of auto-correlation?

The correlation length of auto-correlation, also known as the coherence length, is a measure of the distance over which a signal is correlated with itself. It is a measure of the spatial extent of correlations in a system and is used to determine the size of structures or patterns in a dataset.

2. How is the correlation length of auto-correlation calculated?

The correlation length of auto-correlation is typically calculated by analyzing the data using statistical methods such as Fourier transforms or autocorrelation functions. These methods involve finding the peak or decay of correlations in a signal and using this information to determine the correlation length.

3. What is the significance of finding the correlation length of auto-correlation?

Finding the correlation length of auto-correlation can provide valuable information about the underlying patterns or structures in a dataset. It can help in understanding the spatial extent of correlations and can be used in various fields such as physics, biology, and economics to analyze complex systems and make predictions.

4. Can the correlation length of auto-correlation change over time?

Yes, the correlation length of auto-correlation can change over time. In dynamic systems, the correlation length can vary depending on the state of the system and can provide insights into the evolution of the system over time.

5. How does the correlation length of auto-correlation differ from other measures of correlation?

The correlation length of auto-correlation is specific to spatial correlations and is used to measure the size of structures or patterns in a system. Other measures of correlation, such as Pearson's correlation coefficient, are used to measure the strength and direction of linear relationships between variables.

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