Cross-spectral analysis gives you information about relations between two signals in their
frequency domain. All cross analysis functions are accessible through
Signal calculator .
functions are available:
Cross-correlation: measure of similarity of two signals, commonly used to find features in an
unknown signal by comparing it to a known one. It is a function of the relative time between the
signals. It can also be used to detect similarities in possibly time-delayed signals in applications
like echo detection etc. Y-axis units of the result are not normalized, i.e. they depend on original
signal amplitudes. Please note that amplitude values of the cross-correlation result are not fully
normalized, i.e. maximal correlation will not have a value of 1. The result of the cross correlation
function will show only one half of the common cross correlation plot (positive or negative
depending on the order of signals used in expression). To see the other side, simply switch the
order of signals used in your expression (B cross corr. A instead of A cross corr. B).
Cross spectrum: product of spectrums for two signals. Similarities in their frequency domains
will be emphasized.
Cross coherence: measure of correspondence between spectrums for two signals. Y axis units
are normalized to [0,1]. The value of 1 means that this frequency component is very similar in
both signals, the 0 means that there is no similarity.
Cross gain: measure of contribution of signal1 frequency component in cross spectrum of
signal1 and signal2. Higher amplitude means that the first signals contributes more in the cross
spectrum for that specific frequency. To take full advantage of this analysis you should perform
both “signal1 cross gain signal2” and “signal2 cross gain signal1”
Phase shift: phase shift between signal1 and signal2 on different frequencies. Y axis units are
normalized to [-180,180] degrees.
Relative spectrum (dBr): Relative spectrum relation between two signals calculated as
20*log(spectrum1/spectrum2). By using this function you can calculate spectrum of the signal
relative to some reference signal, for example microphone input relatively to microphone