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Member of the spectral analysis class.

Syntax

c = xcov(a)

c = xcov(a, l)

c = xcov(a, option)

c = xcov(a, l, option)

c = xcov(a, b)

c = xcov(a, b, l)

c = xcov(a, b, option)

c = xcov(a, b, l, option)

[c, d] = xcov(a)

[c, d] = xcov(a, l)

[c, d] = xcov(a, option)

[c, d] = xcov(a, l, option)

[c, d] = xcov(a, b)

[c, d] = xcov(a, b, l)

[c, d] = xcov(a, b, option)

[c, d] = xcov(a, b, l, option)

Description

Computes the cross-covariance of the inputs.

Examples

Inputs

Name	Description
a	Specifies a vector or matrix.
b	Specifies a vector.
l	Controls the length of the cross-covariance. If a is a vector of length n, c = xcov(a, l) returns a vector of length 2*l+1. LabVIEW pads l with zeros when l is greater than or equal to n.
option	Specifies the normalization method to use to compute the cross-covariance between a and b. option is a string that accepts the following values. 'biased' Applies biased normalization. 'coeff' Applies normalization such that the covariance at zero lag is 1. 'none' (default) Does not apply normalization. 'unbiased' Applies unbiased normalization.

Outputs

Name	Description
c	Returns the cross-covariance between a and b. If a is a matrix, c = xcov(a) returns the cross-covariance of all combinations of the columns of a. c is vector or matrix.
d	Returns the indexes of the cross-covariance. If you specify l, d is [-l, -l+1, ..., 0, ..., l-1, l]. d is a vector.

Examples

A = [0.1, 0.2, 0.3, 0.4]
C = xcov(A)

Related Topics

cov
xcorr