Cross correlation
Purpose
Description
Macro Synopsis
Modules
Related Functions
References
Purpose
Cross correlation
Description
"Cross correlation" creates a new signal 
by performing the cross correlation of two signals x and y defined by
Internally, a frequency-domain algorithm based on the Fast Fourier
transform is used for calculating the discrete cross correlation.
Warning: Note that if the input signals have different x-axis scales (sampling periods), the signal with the largest scale will be adapted automatically by interpolating between successive sample points. The type of interpolation can be set in the Basic Options menu.
Macro Synopsis
rxy = CrossCorr([x,y]);
signal rxy,x,y;
Modules
Student, Professional
Related Functions
Autocorrelation, Convolution.
References
Oppenheim/Schafer [3], Conover
[11], Graybill [12], Hollander/Wolfe
[13]