Howtosignalprocessing
Cross-correlation can be implemented as a solution for eliminating specific noise sources by parallelising the measurement. However, in real-life applications, the measurement time taken can be a critical requirement and this operation can be time-consuming with 104 averages taking nearly 30 minutes.
- What is application of cross-correlation?
- When can cross-correlation be considered as auto correlation?
- What is the correct way to perform cross-correlation?
- What is cross-correlation in communication?
What is application of 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.
When can cross-correlation be considered as auto correlation?
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 is the correct way to perform cross-correlation?
Formula for Cross-Correlation
If independent variable X influences variable Y and the two are positively correlated, then as the value of X rises so will the value of Y. If the same is true of the relationship between X and Z, then as the value of X rises, so will the value of Z.
What is cross-correlation in communication?
The cross-correlation between two different signals or functions or waveforms is defined as the measure of similarity or coherence between one signal and the time-delayed version of another signal.
