The received signal vector r 1 ∈ C L × 1 of the desired user is the L‐dimensional representation of r 1 t) on the basis {ψ 1 t),...,ψ L (t)}, that is, the l component of the column vector r 1 is r 1 l [ i ] = ∫ iT iT + T r 1 ( t ) ψ l ∗ ( t ) dt l = 1, …, L. (2).
Fortunately, the luminance characteristics of them are diametrically opposite, which is easy to represent by the L component of CIELAB color space.
Multiply looped rings are a typical example, in which a ring consists of L components, which are themselves rings consisting of L components, and so on.
The isomers are defined as P (prototype), IL (inversion of the L component), IS (inversion of the S component), ISL (inversion of S and L) [ 26].
The results obtained with this approach are consistent with the role of VP30 and L as components of the EBOV RNA replication machinery.
As a consequence, the principal subspace, F = { W i } 1 L, is spanned by the first L principal components of X.
where w i are the column vectors of W., i.e., the columns w 1…w L correspond to the first L principal components of X.
E [ v i ( l ) ] = 0 for any i, l ∈ { 1, …, n } where v i ( l ) denotes the l th component of the i th eigenvector.
Since the luminance value of L component in CIELAB color space ranges from 0 to 100, so a vector length of 40 features is formed for each facial complexion feature representation.
