MATLAB xcorr Function: Algorithm & Orfanidis Textbook

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SUMMARY

The MATLAB 'xcorr' function utilizes algorithms detailed in the textbook "Optimum Signal Processing" by S.J. Orfanidis, 2nd Edition. This function is part of the Signal Processing Toolbox and is designed to compute the autocorrelation and cross-correlation of signals. For in-depth information, users are encouraged to refer to the Mathworks support site, which provides comprehensive details on the function's implementation and usage.

PREREQUISITES
  • Familiarity with MATLAB programming environment
  • Understanding of autocorrelation and cross-correlation concepts
  • Knowledge of Signal Processing Toolbox functions
  • Basic principles of signal processing algorithms
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  • Research the algorithms used in MATLAB's 'xcorr' function
  • Explore the "Optimum Signal Processing" textbook by S.J. Orfanidis
  • Learn about the Mathworks support resources for MATLAB functions
  • Investigate other Signal Processing Toolbox functions for signal analysis
USEFUL FOR

This discussion is beneficial for MATLAB users, signal processing engineers, and researchers looking to understand the implementation of autocorrelation functions in MATLAB.

thrillhouse86
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Hey All,

does anyone know what algorithm MATLAB uses to determine the autocorrelation function when you use the 'xcorr' function. the MATLAB help page refers to a textbook:

"Orfanidis, S.J., Optimum Signal Processing. An Introduction. 2nd Edition, Prentice-Hall, Englewood Cliffs, NJ, 1996."

But I can't find a copy of this either online or at my library.

Cheers,
Thrillhouse
 
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Frequently, the Mathworks support site offers more information than the basic usage information provided when you use the HELP <command> command. It looks like xcorr is a Signal-Processing Toolbox function, but that too is handled at the Mathworks Support Site (TIP: bookmark the MATLAB root support site--it helped me a lot when I was a MATLAB developer for a summer):
http://www.mathworks.com/access/helpdesk/help/toolbox/signal/xcorr.shtml

In this case, it tells you how the elements of the auto/cross-correlated are calculated (though I'm not sure if there's a name for this 'algorithm').

Hope this helps!
 
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