Howtosignalprocessing
- What does a peak in cross-correlation mean?
- What is the maximum value of cross-correlation?
- What is normal cross-correlation?
- How do you interpret cross-correlation results?
What does a peak in cross-correlation mean?
The cross-correlation plot typically produces two peaks: a peak of enrichment corresponding to the predominant fragment length (highest correlation value) and a peak corresponding to the read length (“phantom” peak).
What is the maximum value of cross-correlation?
Cross-correlation is generally used when measuring information between two different time series. The possible range for the correlation coefficient of the time series data is from -1.0 to +1.0.
What is normal cross-correlation?
Normalized Cross-Correlation (NCC) is by definition the inverse Fourier transform of the convolution of the Fourier transform of two (in this case) images, normalized using the local sums and sigmas (see below).
How do you interpret cross-correlation results?
If the slope is positive, the cross correlation is positive; if there is a negative slope, the cross correlation is negative. This helps to identify important lags (or leads) in the process and is useful for application when there are predictors in an ARIMA model.
