Discrete-time cross-correlogram

Cures cross-correlograms and headaches!* *note: does not actually cure headaches.
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Aktualisiert 20. Sep 2010

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Computes cross- or auto-correlograms between two discrete time series, supplied as a list of timestamps.

[tsOffsets, ts1idx, ts2idx] = crosscorrelogram(ts1, ts2, window)

INPUTS:
ts1 - a list of timestamps (in seconds) to use as the reference of the cross-correlogram
ts2 - timestamps (in seconds) used to create the cross-correlogram, compared against ts1
window - a length-2 vector specifying the width of the correlogram to compute, in seconds.

OUTPUTS:
tsOffsets - a list of offsets from timestamps in ts2 to their nearest timestamp in ts1.
ts1idx - an index for each offset in tsOffsets into ts1.
ts2idx - an index for each offset in tsOffsets into ts2.

USAGE:
% Create a dummy time series where one leads the other by 0.3 seconds
ts1 = sort(rand(1000,1)*1000);
ts2 = ts1 + 0.3;

% Calculate the cross-correlogram between the two signals with a 0.5 second window, starting at each spike time in ts1
offsets = crosscorrelogram(ts1, ts2, [0 0.5]);
hist(offsets, 100);

Zitieren als

Alex Wiltschko (2024). Discrete-time cross-correlogram (https://www.mathworks.com/matlabcentral/fileexchange/28566-discrete-time-cross-correlogram), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2008b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Quellenangaben

Inspiriert: rookpoly(Pcoef)

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Version Veröffentlicht Versionshinweise
1.2.0.0

corrected grammar in snarky summary description

1.1.0.0

Removed extraneous variables (more cleanup will occur in the future)

1.0.0.0