cross_corr

Version 1.0.1 (1.85 KB) by Xufeng Lin
CROSS_CORR calculates the normalized cross-correlation (NCC) between column vectors pairwisely
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Updated 28 Jul 2018

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- NCC = cross_corr(X, Y, isNormalized, isMeaned) Computes the NCC between
column vectors of X and Y pairwisely

Both X and Y are matrices with each column representing a sample. X and Y should have the same
number of rows. Suppose the size of X is d x nx, and the size of Y is d x ny. Then the output matrix ncc will be of size nx x ny, in which NCC(i, j) is the NCC value between X(:,i) and Y(:,j). The other two parameters isNormalized and isMeaned indicate if each column has been normalized or zero-meaned, which can be used for speeding up the calculation.

Cite As

Xufeng Lin (2024). cross_corr (https://www.mathworks.com/matlabcentral/fileexchange/68295-cross_corr), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with R2014a to R2018a
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.1

update examples
1.0.0