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This scheme is based on LCSS-based similarity and is defined as follows: ζ a b = argmax ζ L C S S ( M a, M b ζ ) min ( N M a, N M b ).
This scheme is based on RDM [4], which is a high-rate quantization-based data-hiding method invariant to amplitude scaling, and on the convolution theorem [7], which allows to represent the filter output as a multiplication in the Fourier domain of the input signal and the filter response.
This scheme is based on a minimization principle.
This scheme is based on using the temperature readings as they become available.
This scheme is based on using a real distinct poles discretization for the underlying matrix exponentials.
This scheme is based on a mapping from ab initio results to a Heisenberg model Hamiltonian.
Similar(12)
This scheme was based on channel access time.
This scheme was based on electrochemical-enzymatic redox cycling using GOx as an enzyme label, Ru(NH3 63+ as a redox mediator, and glucose as an enzyme substrate.
To achieve this, our scheme is based on applying one-dimensional DG solvers along each coordinate direction in a reference element.
Again, this classification scheme is based on how organisms looked essentially their phenotype.
This distribution scheme is based on the longitudinal differentiation of gravity processes, which are directly linked with architectural element types.
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