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The wavelet transformation analysis is particularly suitable for visualizing chromosomal patterns at all scales, from coarse to fine.
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For this, a combination of laser Doppler vibrometry for measurement and signal processing by aid of fast Fourier transformation analysis was used.
Pearson's correlation, logistic regression and ridit transformation analysis were used to analyse the data.
Fast Fourier transformation analysis was performed for single blocks to obtain a quantitative description of the main oscillatory frequency component.
The transformation field analysis is used to predict the pseudoelastic behavior of shape memory alloys reinforced composite materials.
However, using a biquadratic transformation, the analysis is not limited by any restriction on the root positions.
In order to understand in detail the overall phase transformation process (i.e., solidification and solid-state transformation), complementary DSC analysis is performed for the Fe94.3B5.7alloy.
Data transformation and analysis were performed using the DSF analysis protocol36.
A general land use spatial pattern analysis, based on landscape metrics and a transformation matrix analysis, was conducted.
Before modeling, wavelet coherence transformation (WCT) analysis was conducted to analyze the relationship between variables in the time-frequency domain.
Genomic and plasmid DNA isolation, manipulation, transformation and analysis were carried out by standard procedures [43].
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