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Or should all algorithms have the same parameter settings?
The same parameter setting is used as in previous subsection.
For other models, the same parameter values could be used to represent different operational conditions.
We used the same parameter values for all the test images.
The control group showed an 82.5% decrease in the same parameter.
Consider M unbiased estimators ς ̃ k of the same parameter ζ.
The phantom images were reconstructed in the same parameter setting as BCF images.
In Fig. 4, we depict the effect of the same parameter M on the dimensionless temperature.
"Final" refers to the inversion result for the same parameter at this cut-off frequency.
For doing this simulation, we use the same parameter settings of former comparison.
In each round of simulations, both techniques used the same parameter values as described before.
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