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It starts with the explanation of the convolutional model to obtain a seismic trace, and introduces basic assumptions for the conventional Wiener-Levinson deconvolution approach with different theoretical and practical examples.
We give the following basic assumptions for the inequality (1.7).
Before giving our ILC law, basic assumptions for the system (1) are first given as follows.
The basic assumptions for the PaSR are similar to those of the CSTR or PSR.
Basic assumptions for the system (11) are given for further analysis.
In Section 2, we shall present several lemmas for proof of main results, and give the basic assumptions for the nonparametric estimator.
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A basic assumption for the use of these methods is the linear elastic behaviour of the tested structures.
The basic assumption for the zero-dimensional model is that the reservoir system can be depicted as a sealed tank where reservoir changes upon depletion can be represented as a function of volumetrically averaged average reservoir conditions.
Finally, the main elements formed the basic assumption for the development of performance indicators (PI).
We then briefly discuss the different ways adaptation has been studied previously in action potential and graded potential systems and the basic assumptions for testing the ideas of efficient neural encoding.
The basic assumption for this estimate of alveolar recruitment relies on the finding that the specific elastance of pulmonary units is near to normal [ 22], indicating that the elastance decrease with PEEP is likely to be due to the recruitment of new pulmonary units [ 7].
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