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With a limited number of secondary data set, a class of covariance matrix estimators, defined as the geometric barycenters of some basic covariance matrix estimates obtained from the available secondary data set, are proposed by exploiting the characteristic of the positive-definite matrix space.
In this paper, the corresponding covariance expressions for the system matrix estimates at multiple model orders are derived and successfully applied on real vibration data.
We use the detector proposed in Section 5 to obtain the PSD matrix estimates (widehat {mathbf {Phi }}_{boldsymbol {u}}) and (widehat {mathbf {Phi }}_{boldsymbol {s}}), and the RTF vector estimate (hat {boldsymbol {g}}_{1}).
The IBS matrix estimates the genetic relationship based on genome-wide SNPs similarity.
The following equations for the covariance matrix estimates are only valid when the translations are known (Theobald and Wuttke, 2006a).
LDA and QDA require no parameters except for the mean and covariance matrix estimates for each channel; these are computed from the training set.
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with Σ as the covariance matrix estimated from training data.
The quality of the CFO estimates depends on the accuracy of the channel matrix estimate.
The noise-only covariance matrix estimate for a frequency subband can be defined as (12).
The mixing matrix estimate is then used to recover the source signals.
The OptShrink method requires noisy low-rank matrix and its rank estimate as input and provides denoised low-rank matrix estimate.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com