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In the proposed procedure, firstly, as a pre-processing step, the most impulsive frequency bands are selected at different bearing conditions using a combination between Fast-Fourier-Transform FFT and Short-Frequency Energy SFE algorithms.
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More than 20 audition tapes are screened before a handful of bands are selected.
The medical bands are selected to reduce the interference and thus increase the coexistence of sensor node devices with other network devices available at medical centers.
These bands are selected because they do not overlap with spectral bands of other materials.
The two displayed frequency bands were selected by the experimenter at the beginning of each session, however, the choice of the electrode for which the spectral power was displayed on the screen was made by the patients themselves during the 'free search' sessions and by the experimenter during the 'guided search' sessions.
Based on the literature [ 15– 17] and own research, two bands were selected for analysis, ν as(CH3) at 2958 cm−1 and ν(C=O) at 1738 correspondingonding to a stretching vibration of the CH3 group and a stretching vibration of the C=O group.
Symbols are the same as in Fig. 1, but FUV samples are selected at the U-band.
Thus, the frequency bands were selected according to their relevance.
A total of twenty six common bands were selected after band matching between different growth stages and twenty two of these bands were positively identified.
These bands were selected for protein identification.
Polymorphic bands were selected with 0.5-bp tolerances.
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CEO of Professional Science Editing for Scientists @ prosciediting.com