As the latter effects a normalization of the data, the units of the spectrum are termed spectral density.
At what point did you move away from spectral analysis toward nonlinear models?
The fact that different speech sounds are cued by different spectral and temporal parameters further complicates the interpretation of neurophysiological findings.
Here we study some of their basic properties, such as metric properties, symmetries, and spectral properties.
In, the graphs (of bounded degree) for which the spectral radius is less than 1 are characterized.
Here we study some spectral conditions for a (regular or distance-regular) graph to be strongly distance-regular.
The resulting components are expressed in a spectral density function, which specifies the amount of spectral power within given frequency bands.
Let us now return to the question of a 'spectral theory' for bipartite graphs.
