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The general case is achieved by scaling each sample of the fingerprint signal by factor of before embedding, and rescale before decoding.
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Finally, the time-domain signal is amplitude normalized by scaling its sample values so that they occupy the original amplitude range of the processed frame.
The method accounts for diffuse dissipation in the specimen while ensuring consistent strain rates by scaling both the sample size and testing speed with ligament length.
(Normalized counts are obtained by scaling all samples to a common total count and rounding. They are used for ease of presentation and not for calculation of the test).
We normalized expression values for each sample by scaling so that the median values were made equal.
In general, the empirical ICDF (Phi _{y}^{-1}) can be obtained simply by scaling and sorting the data samples.
We accounted for incomplete sampling by scaling the monthly data with the ratio of monthly mean simulated composition sampled continuously versus sampled coincidently with satellite observations.
Another common approach to this issue is choosing a stochastically sampled policy (also known as ε-greedy policy, [42]) where, at each step, a randomly sampled action is taken with a probability p. We propose a variation of the stochastically sampled policy where sampling is performed by scaling the expected payoff value of each action to the minimum possible payoff for the game.
The spectra were normalized by scaling the spectral data of all samples to achieve an equal total area for each spectrum.
Current RNA-seq analysis methods typically standardize data between samples by scaling the number of reads in a given library to a common value across all sequenced libraries in the experiment.
Unlike conventional SD analysis, DPM is independent of gene expression level and sample number by scaling into a region of 0 1.0 as above.
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CEO of Professional Science Editing for Scientists @ prosciediting.com