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Transient amplitude, rise time and pulse duration were measured in the time domain to obtain the associated empirical distributions; the power spectrum and the frequency content were calculated in the bands of interest; finally a time frequency representation has been used to observe the evolution of the power spectrum over time and determine the location of the main contributions.
The continuous lines capture information related to the evolution of the spectrum over time and space.
The continuity of the audio spectrum over time is as perceptually important as the accuracy of the spectrum reconstruction.
This is caused by the fact that only discrete states are adopted to piecewise approximate the actual evolution of the audio spectrum over time.
Cognitive radio provides a solution to the problem of inefficient spectrum utilization by using the vacant frequency spectrum over time in a certain geographical region.
Further, the proposed method improves the smoothness of the reconstructed spectrum over time and also gains a good performance in the subjective listening tests.
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Spectrum demand is changing over time.
Unraveling all these processes requires observing the evolution of absorption and emission spectra over time.
As the spectra are acquired in a continuous fashion, the evolution of the spectra over time can be obtained in a straightforward manner by stacking successive sweeps of the FPI one atop another (Fig. 2b and Supplementary Fig. 4).
Toda et al. [16] introduced the global variance (GV) of the converted spectra over time sequence.
4D E show spectrograms (sound spectra over time) over the 24h recording periods for the two ventilation conditions.
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