Table Of Contents

crosscorr

Version:
    Last Modified: January 9, 2017

    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

    Inputs

    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 to 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.

    Outputs

    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: Not supported


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