- What is normalized cross-correlation?
- How to calculate cross-correlation?
- What is auto and cross-correlation in DSP?
- What is cross-correlation analysis?
What is normalized cross-correlation?
Description. 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 to calculate cross-correlation?
Cross-Correlation
It is calculated simply by multiplying and summing two-time series together. In the following example, graphs A and B are cross-correlated but graph C is not correlated to either.
What is auto and cross-correlation in DSP?
Crosscorrelation is a measure of similarity between two signals, while autocorrelation is a measure of how similar a signal is to itself.
What is cross-correlation analysis?
Cross-correlation analysis is used to determine the degree of association between two waveforms.