While the identification of biomarkers directly in blood-based matrices can be problematic due to their complexity and the presence of multiple highly abundant factors [ 14], some of these challenges can be minimized through extensive fractionation [ 15].
Obviously, the measures whose definitions are based on calculating matrices can be often computed in polynomial time (e.g., square, cubic etc).
Drug-loaded ODFs based on polymeric matrices can be designed to disintegrate quickly in the mouth releasing the active ingredient.
(4) Here, any RS code (e.g., based on Hankel, Cauchy, or Vandermonde matrices) can be used.
Note also that, once the channels are estimated, the design of full AF matrices can be done, e.g., based on the SVD of the channel matrices, following the idea of [9] or on the mean-square error (MSE) criterion [21].
Moreover, customized measurement matrices can be defined, that are based on random DFT matrix row selection.
Field survey damage proportion matrices can be used to calibrate damage proportion matrices derived from remote sensing assessment results based on Bayesian principles (Booth et al. 2011).
These matrices can be quite large.
Confirm that the matrices can be multiplied.
For example, for, a code based on 3-dimensional rotation matrix can be employed: (11).
For distributed scatters, due to the presence of speckle noise, only second polarimetric representations or incoherent decompositions based on covariance or coherency matrix can be employed.
