Spectral coherence measures the strength of the coupling between the spectral components of two signals.
Here it can be seen that is in fact a true measure of the correlation between the spectral components of.
Therefore, in [17], the reliability was estimated from a priori information by measuring the difference between the spectral components of clean speech and reverberant speech at given times.
A discrete distribution is formulated for each case and a criterion for determining the interaction between the spectral components of the signal is also given.
Nevertheless, based on a high-pressure Mössbauer spectroscopy study [31], a technique that can discriminate between the spectral components of the intercrystalline region and the crystalline core, Trapp et al. had deduced that the surface layer of nanocrystallie Fe has an enhanced compressibility when compared to the bulk crystalline α-Fe.
Our results cannot be said to disagree with those because of our somewhat poorer time resolution, and the fact that we looked at lags between specific spectral components of origination and extinction, not the full functions themselves.
There was also no association between the spectral components of HRV and age, sex, BMI, GAF score, or duration of illness.
There was no significant association between the spectral components of HRV and BPDeq anticholinergic antiparkinsonian drug dose or DZPeq benzodiazepine anxiolytic drug dose.
However, the result of the multiple regression analysis showed that there was no association between the spectral components of HRV and GAF score after adjustment for variables such as age, sex, BMI, duration of illness, CPZeq, BPDeq, and DZPeq (Table 3).
Instead, our method is based on the correlation between spectral components and the spatial distribution of the probe where specific spatial features can be identified in images and associated with spectral features.
