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In the decomposition process, the octave or scaling parameter is decided by the adaptive window duration of the Gaussian function that is used in the best possible approximation of the local signal structures.
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Their parameters are decided directly according to the identified values.
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The models can be used to fine tune the DER prediction model whose initial parameters are decided by expert's knowledge or common sense.
In this method, an integrated value of the sound pressures in a frequency domain is taken as a cost function, and the parameters are decided by using a neural network procedure.
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A parametric library is created, modelling the elements by the combination of simple geometrical shapes, where parameters are decided before shaping. .
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com