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Retrieval aspects, such as content, structure and semantics, are expressed by matrices defined in these spaces and by matrix operations applied on them.
In particular, probabilistic distributions of the two norms of correlation matrices defined in Part I are delivered for an arbitrary sample size and number of random variables in the case when the sampled values are ordered randomly.
Using the matrices defined in Eqs.
Here τ denotes the transposition of a vector and B, P are matrices defined in [2].
Recall that C jjk and C jlk are estimation error covariance matrices, defined in (8).
The precoding matrices defined in (4) are of size N×d k with N>d k, ∀k.
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Let L be the matrix defined in (2.17).
Let ({{mathbf D}}) be the matrix defined in ( 18 ).
The matrix R t ′ is a Toeplitz matrix defined in Section 1.
where, using the invertible matrix defined in (18) one defines, (22).
We use to represent an -by- array matrix defined in the complex Euclidean space of dimension.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com