XCORR2x.m

Normalizes the output of cross-correlation function XCORR2.M according to 'biasflag'.

Description

function C = XCORR2x(A,B,'biasflag')
 
PURPOSE: Normalizes the output of cross-correlation function XCORR2.M according to 'biasflag':
 
         biased - scales the raw cross-correlation by the maximum number of elements of A and B involved in the generation of any element of C
         unbiased - scales the raw correlation by dividing each element in the cross-correlation matrix by the number of products A and B used to generate that element
         coeff - normalizes the sequence so that the largest cross-correlation element is identically 1.0.
         none - no scaling (this is the default).

• MATLAB release: MATLAB 5.2 (R10)

[Piotr Majdak]

very fast for short vectors, but doesn't work for longer vectors due to building a diagonal matrix of the input.

[ali panahi]

cross correlation autocorrelation fft dtt overlab savemethod overlab add method

[ali panahi]

cross correlation autocorrelation fft dtt overlab savemethod overlab add method

[sundar ganesh ayyasamy]

 

[RJV RJV]

 

[Kurijn Buys]

Nice, but the coeff method is just a normalisation by the maximum correlation value: C = C/max(C(:))'.
Not like in xcorr: "so that the auto-correlations at zero lag are identically 1.0."