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Real accelerograms are intensified by spectrally matching them to Conditional Mean Spectrum of different return periods.
Moreover, the mean spectrum of all pixels in each homogeneous object is used as the spectral feature for this object.
Also shown is the mean spectrum of the 100 near fault and far fault records superimposed on the ASCE 7-05 despectrumctrum for the site.
SIMQKE program is utilized to simulate ground motions, mean spectrum of whose matches to 1.5 times the design spectrum resulting in an earthquake hazard level of 2% probability of exceedance in 50 years.
Three sets of 10 ground motions, with mean spectrum of 100, 500, and 1000 yr return period hazard level (matching EC-8 design spectrum), are used for the nonlinear time history analyses.
Since Fourier analysis yields only a time mean spectrum of a data series, we perform wavelet analysis to reveal more accurate information on the periodicities and their temporal evolution.
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Mean envelopes and mean spectrums of control signals were correlated (r-values) with those of propagated signals using Bravais-Pearson product-moment.
Figure 5 Mean spectra of training samples and mean of the pixels classified by the MLH classifier.
Figure 4 Mean spectra of training samples and mean of the pixels classified by the SOM-hybrid ANN.
The mean spectra of the newly-measured S. sanguinis and S. mutans biofilms, shown in Figure2, appear nearly identical.
The mean spectra of the training samples (solid lines) for each class, and the mean of the pixels classified by the MLH classifier into the respective classes (dashed lines), using the 30-band subsampled image cube.
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