Sentence examples for mutual information analysis from inspiring English sources
The existence of nonlinear dependencies between the generated spectral components can be revealed by the method of mutual information analysis.
One of these was through a mutual information analysis that revealed elevated mutual information for all gene expression in iPSCs.
This is also highlighted in logarithmic scale in the inset of Fig. 5b. Figure 5: Mutual information analysis of random fibre laser spectra.
Furthermore, using mutual information analysis, we confirm the existence of nonlinear correlations between different parts of the random fibre laser spectra.
Mutual information analysis was used to assess the degree of statistical dependence, or coupling, between time series data of sleep and affect.
Therefore, combining mutual information analysis with robust clustering of complex stimuli provides a framework to study neural coding mechanisms related to complex stimuli discrimination.
Statistical coupling analysis (SCA), mutual information (MI) analysis and residue correlation analysis (RCA) are the most typical covariance analysis algorithms.
Conditional mutual information (CMI) analysis and precoding design for generally correlated wireless multi-hop multi-input multi-output (MIMO) channels are presented in this paper.
Using normalized mutual information (NMI) analysis (Martin et al., 2005) with a Z-score cut-off = 4 (see 'Materials and methods') to detect the intra-molecular coevolved residues within PapC TD, a coevolutionary RIN containing 100 coevolved residues (nodes) and 357 connections (edges) was derived.
Employing the streamflow data of the Saugeen River in Ontario, Canada, this paper illustrates the use of the autocorrelation functions, mutual information, power spectrum analysis, phase space reconstruction, correlation dimension, surrogate tests, and Hurst coefficients for the analysis of chaotic systems.
We investigate low-frequency activity with magnetoencephalography (MEG) and mutual information (MI), an analysis that has not yet been applied to noninvasive electrophysiological recordings.
