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Exact(4)
We defined the error function e n ( t ) by subtracting Eqs.
Contrary to the low order absorbing conditions previously defined, the error at the artificial boundary induced by this novel ABC can be easily reduced to reach any accuracy within the limits of the computational resources.
We have also examined the delicate issue of performance evaluation and defined the error as a function of wavelength, using a metrological procedure to infer the uncertainty of the computed error from the statistics of the measured variables.
Having defined the error signal, we can now write the MSE criterion: J H ′ = tr E e ′ e ′H = tr Φ x Q + tr H ′ Φ y H ′H − tr H ′ Φ x I i T − tr I i Φ x H ′H = J ds H ′ + J rs H ′, (68).
Similar(56)
Let us define the error vector as (4).
We define the error sequence between and by.
Let us define the error vector as which can be obtained from, where (17).
Define the error vector (textbf {e}_{d} =textbf {h}_{d} - hat {{mathbf h}}_{d}).
Let us now define the error vector eg,uw=sg,u−sg,w.
Next, let us define the error vector ε t [ n ] = u [ n ] - u ^ t [ n ].
We define the error recognition probability as Perror = P SCLD| OFDM) + P OFDM| SCLD).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com