How to find correlation between signals?
Best insight from top research papers
Correlation between signals can be found using various methods. One approach is to perform correlation analysis, which involves calculating the correlation function between signals . This function measures the similarity or relationship between two signals and can be used to determine the presence of correlated components. Another method is generalized canonical correlation analysis, which identifies correlated signal components between multiple nodes in a network . This technique can be used to partition a network based on observed signals and their correlation structure. Signal correlation can also be used to measure signal power and detect similarity between signals . Additionally, frequency-time correlation analysis can be employed to analyze signals in non-destructive testing and diagnostics . By performing Fourier transforms and inverse Fourier transforms, the correlation of harmonic components at different frequencies can be determined. Overall, these methods provide ways to find and analyze the correlation between signals.
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| Papers (5) | Insight |
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| The paper describes a method for finding correlation between signals by converting signal segments into vectors and calculating correlation values between the reference signal segment and each segment of the signal of interest. | |
| The paper describes a method for frequency-time correlation analysis of signals using Fourier transform and complex multiplication. It does not provide a detailed explanation of how to find correlation between signals. | |
| The paper provides information on how to calculate correlation between signals. | |
| The paper proposes a MAXVAR-based distributed algorithm that computes the correlation structure between signals in a wireless sensor network without aggregating the observations at a central location. | |
| The paper does not provide specific instructions on how to find correlation between signals. |
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