Noun
The vectorized input data for principle component analysis
- Examples
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However, the eigensources cannot be related to array space sources as is possible […] with conventional arrays.
More examples (2)
[…] and showed that it can be an excellent tool for decomposing time series data into a complete set of orthonormal subspaces and isolating spatial or temporal eigensources.
When the matching section is added to the new structure, exciting one port will result in exciting the port with one eigensource, that is, with the magnitude and phase proportional to one of the eigenvectors, and alternatively, the other eigensource is excited when an incident wave is applied to the other port of the new MPA structure.