Sentence examples for matrices of users from inspiring English sources

Figure 13 Pearson correlation matrices of users' de-seasoned event rates.

Compute the intra-cell interference suppression matrices of users u 1,1, u 2,1, u 1,2 and u 2,2, respectively.

The same model can also be used for SU-MIMO with small modifications, if the precoding matrices of users are assumed semi-unitary and isotropically distributed on G N j, ℓ j.

By comparing the current interest matrices of users, their current interest difference can be derived, where a small user interest difference means the possibly similar user trajectories and behaviors.

V 1,k and V 2,k represent the equivalent pre-coding matrices of user 1 and user 2 in the kth cell, and the dimension is N t  × d, V k  = [V 1,k, V 2,k ], is N t  × 2d dimension matrix, k = 1,2,…, K. Through the above analysis, the interference channel model described in Fig. 4 can be equivalent to that in Fig. 5.

The results of precision, recall and F-measure, derived from the matrix of users' interests are summarized in Figure 9. Similarly to experiment #1, we show a comparison across the candidate similarity functions.

A key contribution of this paper is that the user selection algorithm uses the determinant of a matrix composed of users' channel matrices so that the orthogonality as well as the channel quality of the selected users are measured.

Moreover, the effect of weight matrices on users' prioritisation is elaborated.

However, this criterion needs to perform ZF nulling and ordering to channel matrices of all users before selecting the best user, which requires a lot of computations.

where is the MIMO channel matrix of user.

The channel matrix can be assumed as the virtual channel matrix of user after precoding.