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We can ignore the bias (b) without generality loss.
Without generality, the LBCC ρ 0 is set as 0.8.
In the sequel, without generality loss we shall focus on the images, sparse or compressible in the pixel domain.
Let without generality, then is bounded; the following argument is similar to Theorem 2.5, so it is omitted, and this completes the proof. .
Let without generality, then is bounded; the following argument is similar to Theorem 2.5, so it is omitted, and this completes the proof.
Without generality, we also adopt the following assumptions: (1) The number of CR nodes are larger than that of DCR users together with LU, i.e. K > L+M.
Similar(54)
without losing generality, which implies (3.26).
Without reducing generality, assume that and.
Without losing generality, let (y=B_{2^{n},1}x).
Without loss generality of (1.2), we assume that.
and that, without restricting generality, is a monic polynomial.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com