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Consider the multivariate random process, X t), consisting of p independent electrodes: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0003355.e001.PNG" class= inline-graphic"/> A recording of a time series from these electrodes would be considered a single realization of this neural process.
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The method is extended to the simulation of multivariate random processes utilizing proper orthogonal decomposition.
In the source enumeration problem, our model is a multivariate Gaussian random process with zero mean and covariance of the type shown in (62), where the number of active sources is unknown.
Since the number of samples is usually limited in this training set, a model is chosen beforehand: The generation of this set is modeled as drawing samples from a random process P x), where the distribution of this random process is approximated by a multivariate normal distribution N μ, Σ.
"It's a random process," Jennison says.
Hence in this paper, we propose a new and simple multivariate SSIM (MvSSIM) index for HSI, by treating the pixel spectrum as a multivariate random vector.
Nor did Hoyle think this was a random process.
Here, we propose a multivariate random vector generation approach for generating random stress tensor components that is based on tensorial techniques and which incorporates inter-component correlation.
Canonical correlation analysis (CCA) is a classical tool that explores the dependency of two multivariate random variables and extracts canonical pairs of highly correlated linear combinations.
All prizes were awarded through a random process.
Response of linear systems to random process inputs.
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