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The tools for investigating causal network structures in respect of frequency bands are unique functions provided by this toolbox.
This software requires the MATLAB® Image Acquisition Toolbox™ (as of this writing, this Toolbox is only available for 32-bit versions of Windows) and use of a camera supported by this toolbox; a complete list of supported capture devices is available on the Mathworks website and includes all digital cameras compatible with the IIDC 1394-based Digital Camera Specification (DCAM).
Multivariate data analysis methods are offered by this toolbox.
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Here, we provide a step-by-step tutorial of this toolbox along with a detailed description of analytical plans (aka the Chicago Electrical Neuroimaging Analytics, CENA) for the statistical analysis of brain microstate configuration and global field power in within and between-subject designs.
We illustrate the usage of this toolbox by means of a real-world manufacturing defect prediction case study.
This toolbox computes morphological features by calculating the 2nd-order covariance matrix of the image moments, which is equivalent to fitting an ellipsoid to an object.
Moreover, these conditions are expressed in terms of LMI and can be easily checked by MATLAB LMI toolbox.
Furthermore, no routines to read data from disk are provided by the toolbox.
We observed that even a formal definition is checked and analyzed by the toolbox but it does not give guarantee to be correct.
As a young girl I was fascinated by the toolbox my dad kept in the cupboard under the stairs.
Coherence between similar-frequency peaks in the individual spectra was calculated using the Chronux toolbox, as described in previous work by the toolbox's authors [24], by standardizing the cross-amplitude values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com