Exact(54)
Returnα matrix and b matrix .
Let A be a matrix and B be a sequence.
A is a matrix and b is a vector.
(a) Alltop sequence + random sensing matrix and (b) optimized transmit waveform + optimized sensing matrix.
(a) Alltop sequence + optimized sensing matrix and (b) optimized transmit waveform + optimized sensing matrix.
Lemma 4 Let B 0 be a symmetric and positive matrix and B k be updated by (3).
Similar(5)
end{aligned} (1.3) Suppose A is a constant matrix and (B,C) are symmetric.
Let (A=(a_{ij} in R^{ntimes n}) be a strictly diagonally dominant M-matrix, and (B=(b_{ij}) in R^{ntimes n}).
SMR can be depicted as follows: (1) S M R i, j = B P i, j i = 1 ⋯ N, j = 1 ⋯ 20, where B denotes the BLOSUM62 which is a 20 × 20 substitution matrix and B i, j) represents the probability rate of amino acid i mutating to amino acid j in the evolution process; P = (p1, p2 ⋯ pN) is the given protein sequence constructed by N amino acids.
Fleft(A,b,xright)= Ax+b (22 where A is a non-singular 2×2 matrix and b∈R2 is the translate component.
Recently, Li et al. [8] improved (2) and gave the following result: Let (B = (b_{ij} inmathbb{R}^{ntimes n}) be an M-matrix and (B^{-1}= (beta_{ij})).
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