Howtosignalprocessing
- What is meant by cross-correlation?
- What's the difference between autocorrelation and cross-correlation?
- What does negative cross-correlation mean?
- Is cross-correlation associative?
What is meant by cross-correlation?
Cross-correlation is used to evaluate the similarity between the spectra of two different systems, for example, a sample spectrum and a reference spectrum. This technique can be used for samples where background fluctuations exceed the spectral differences caused by changes in composition.
What's the difference between autocorrelation and cross-correlation?
Difference Between Cross Correlation and Autocorrelation
Cross correlation happens when two different sequences are correlated. Autocorrelation is the correlation between two of the same sequences. In other words, you correlate a signal with itself.
What does negative cross-correlation mean?
A negative correlation describes the extent to which two variables move in opposite directions. For example, for two variables, X and Y, an increase in X is associated with a decrease in Y. A negative correlation coefficient is also referred to as an inverse correlation.
Is cross-correlation associative?
Correlation is not associative – it is mostly used in matching, where we do not need to combine different filters.
