The input design problem over a time horizon of length N is also investigated, in order to characterize the time complexity of the considered identification problem.
First, in order to characterize physical properties of the stimuli such as electro-motive force (EMF), we performed mathematical modeling and actual measurements using a search-coil.
Furthermore, a point process modeling is proposed in order to characterize some properties of the endo/exocytosis process such as the presence of clusters.
In order to characterize the phenotype further, we examined the expression of various epidermal markers, such as undifferentiation (K14) and differentiation markers (K10, Loricrin), with proliferation marker (PCNA).
Thus, the aim of our study was to investigate HRV short-term complexity by means of Shannon entropy (SE) and corrected conditional entropy (CCE) during sleep in young and older subjects, in order to characterize a temporal profile whereby higher cardiovascular risk may occur due to the loss of complexity.
In order to characterize the advantage of the ABC-MUD scheme in terms of the performance-versus-complexity tradeoff, in Table 3 we summarize the computational complexity imposed by the different MUDs assuming an value of 3 dB, where the associated complexity was quantified in terms of the number of complex additions and multiplications imposed by the different MUDs on a per-user basis.
We then developed and evaluated a set of measures to characterize such motifs in terms of spatial structure, complexity and temporal evolution.
The growing design complexity of today's embedded real-time systems requires new techniques aiming the raising of the abstraction level since earlier stages of design in order to deal with such complexity in a suitable way.
Using our approach, we determine the minimal number of parameters needed in order to uniquely characterize the final formed shape regardless of complexity.
