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The remaining frames of signal are compiled for signal processing.
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Therefore, only a true source can exhibit a consistent estimation of direction on consecutive frames of signals because the weighting function of ES-GCC also has certain robustness to reverberation.
For the specification of the detailed computation, let the frequency bin number k of the DFT of one frame of signal x at discrete time n be X n (k).
All features were calculated based on short frames of the signal according to Eq. (1).
To make the estimation of each partial frequency more accurate, an algorithm was created the algorithm is fed with the frames of the signal and it outputs the position of the partials.
In Fig. 1, average values of magnitude spectra along with standard deviations, computed from 19 consecutive overlapping frames of EEG signal obtained from subject 1 considering mathematical multiplication task, are plotted.
Estimation accuracy degrades close to borders of the frame because of signal discontinuity and spectral leakage.
Therefore, hidden Markov models (HMM) have been introduced into the BWE schemes to further capture the temporal relationship between the adjacent frames of audio signals [16]-[18] [16]-[18]
According to the conclusions, representative frames of speech signals containing T, RDFT, IDFT, or DCT features that are often used in statistical model-based speech enhancement algorithms [9, 10, 28] can be better statistically modeled by the MLD than MGD distribution.
Therefore, a dark signal image was collected after each frame of the signal image.
Ratio images were created from calculating fractional change (FC) values by dividing each 500 ms frame of poststimulus signal activity by the 500 ms frame of prestimulus intrinsic signal activity collected immediately before stimulus onset.
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