I am reading some documentation about Cross Spectrum Analysis as a technique to compare spectra. My understanding is that it estimates the correlation strength between quasi-periodic structures embedded in two signals. I believe it may be useful for my signals analysis.
I was referred to the R functions that implement this type of analysis. I tried all the examples which generated a series of fancy plots. But I need to work on the numerical results. I have read that the following info is available through Cross Spectra analysis: *Cross-periodogram, Cross-Density, Quadrature-density, Cross-amplitude, Squared Coherency, Gain, and Phase Shift* I went through a couple of the two-series (bivariate) cross-spectrum analysis examples with R. I also printed out the attributes of the analysis (see the following). I cannot quite match the above quantities with the attributes/features output of cross-spectra analysis with R. I would greatly appreciate some explanation (which is what) and seeing some more worked out examples. > attributes(mfdeaths.spc) $names [1] "freq" "spec" "coh" "phase" "kernel" "df" [7] "bandwidth" "n.used" "orig.n" "series" "snames" "method" [13] "taper" "pad" "detrend" "demean" $class [1] "spec" Thank you so much. Yours Faithfully, -- Maura E.M [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.