Wavelets [17] are a mathematical tool for time-scale signal analysis: at large scale, low frequencies present in the signal can be readily extracted, while small scale analysis detects high frequency components.
Joint and separate designs for impulse noise and large scale single frequency noise mitigation are proposed to ensure high robustness in orthogonal frequency division multiplexing (OFDM) systems.
Furthermore, joint large scale single frequency noise and impulse noise mitigation method is better than other proposed methods.
Thus, the methodology adapted in the present work is a useful starting point for the modeling and designing large scale multiple frequency reactors.
A large scale of frequency and strain amplitude can be studied using this apparatus, without any restrictive assumption regarding the material model.
It is also different from the other large scale databases providing population frequencies because the collected samples are not phenotypically normal.
This allowed us to develop an efficient numerical method, capable of outperforming the classical FDTD method for large scale problems and high frequency signals.
However, this gradient was not as consistent as the large scale high-low-high frequency mirror- symmetric pattern (again consistent with human imaging findings [35], [38], [41]).
As observed in most individual subjects, group analysis of cochleotopic selectivity indeed showed large scale high-low-high frequency mirror- symmetric cochleotopic maps in the core auditory cortex of humans (Figs. 1E, 2, 3, Fig. S2B; see also Movie S1 depicting the propagation of frequency sensitivity).
Spectral analysis confirmed the presence of a dominant low frequency, large scale, component to these density fluctuations in each of the 6 elements, and these fluctuations tended to correlate with each other at large genomic scales.
