crosscorr

Version:

Computes the cross-correlation of the inputs.

Syntax

c = crosscorr(a)
c = crosscorr(a, l)
c = crosscorr(a, option)
c = crosscorr(a, l, option)
c = crosscorr(a, b)
c = crosscorr(a, b, l)
c = crosscorr(a, b, option)
c = crosscorr(a, b, l, option)
[c, d] = crosscorr(a)
[c, d] = crosscorr(a, l)
[c, d] = crosscorr(a, option)
[c, d] = crosscorr(a, l, option)
[c, d] = crosscorr(a, b)
[c, d] = crosscorr(a, b, l)
[c, d] = crosscorr(a, b, option)
[c, d] = crosscorr(a, b, l, option)
Legacy name: xcorr

a

Vector or matrix of double-precision, floating-point or complex double-precision, floating-point numbers.

b

Vector of double-precision, floating-point or complex double-precision, floating-point numbers.

l

Controls the length of the cross-correlation. If a is a vector of length n, c = crosscorr(a, l) returns a vector of length 2*l+1. MathScript pads l with zeros when l is greater than or equal to n. l is an integer.

option

Normalization method used for computing the cross-correlation between a and b. option is a string that accepts the following values.

Name Description
'biased'

Applies biased normalization.

'coeff'

Applies normalization such that the autocorrelation is 1 when the first input is 0.

'none' (default)

Does not apply normalization.

'unbiased'

Applies unbiased normalization.

c

Cross-correlation between a and b. If a is a matrix, c = crosscorr(a) returns the cross-correlations of all combinations of columns of a. c is a vector or a matrix.

d

Indexes of the cross-correlation. If you specify l, d is [-l, -l+1, ..., 0, ..., l-1, l]. d is a vector.

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

Where This Node Can Run:

Desktop OS: Windows

FPGA: This product does not support FPGA devices