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Table 2 is based on the Pearson correlations reported in five studies [ 24, 25, 28, 30, 32] and correlation matrices received from the authors of two publications [ 26, 31].
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At, c, Xt, c, St, c and At, r, Xt, r, and St, r represent the measurement matrices, receiving data and sparse signals in the complex-valued model and real-valued model.
Denote the T×N matrix received at the receiver as Y.
where R is the is the symbol matrix received by the receiver; S n is an N-dimensional vector of recovered symbols after n iterations, S n − 1 is an N-dimensional vector of estimated symbols after n−1 iteration, e is an N×N identify matrix.
To top it all off, Enter the Matrix received generally poor reviews from hard-core gamers.
The ND×K2signal matrix received at the destination could be written as Y D = H 2 X 2 + N 2, (3).
Although sparse representation and sparse recovery algorithms for colocated multiple-input multiple-output (MIMO) radar have received much attention, incoherence of the sensing matrix received few discussions.
During the first hop, the NR×K1signal matrix received at the relay could be written as Y R = H 1 X 1 + N 1, (1).
Hence, the signal matrix received at the destination from the K relays in phase II is: Y RD = L R η R β R M G S R s ̂ + Z RD. (3).
Genes in the list that matched most annotation terms (i.e. those genes that obtained the most 1-scores in the binary matrix) received the highest rank as XLMR candidates.
Genes in the candidate list that were present in most criteria lists (i.e. those genes that obtaining the most 1-scores in the binary matrix) received the highest rank as candidates.
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