Version:

Last Modified: January 9, 2017

Computes the cross-correlation of the inputs.

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

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

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

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.

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. |

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.

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