Sentence examples for strict characterization from inspiring English sources

Dretske's strict characterization of indication is thought by some to be troublesome.

Strict characterization of the PSD requires the knowledge of w(t) as it also causes the spectral leakage.

However, all Rs must indicate Cs in a region of space-time if any are to do so, given the strict characterization of indication (for if Rs indicate Cs in that region, then in that region it must be the case that C being the case, given an R-tokening, has a probability of one).

In recent studies, a more strict characterization of Treg cells has been achieved [ 23].

Pre-miRNAs typically exhibit a stem-loop structure with few internal loops or asymmetric bulges but the variety of structures that are efficiently recognized has escaped any strict characterization (Lindow and Gorodkin, 2007).

Of course, as in "24," the actors here are in the same costumes for most of the series (though presumably they'll change to formal wear as the ceremony draws nigh), which means ultra-strict characterization.

Specifically, the final CD133+ cell product must be released upon a strict manufacturing characterization, as well as definition of release criteria and quality controls.

We only address the question of convergence of sequential dynamics for values of the parameters within the only region where a full characterization of strict Nash profiles has been achieved, i.e. only for ( c<1-alpha ).

Based on a new characterization, a strict LMI condition for L2 L∞ filter design is obtained, which does not involve any iterations for design parameter search, any couplings between the system matrices and the Lyapunov function matrix, nor any system-dependent filter parametrization.

There are many equivalent characterizations of the strict convexity of a normed space, some of them given in [1, 2] are as follows.

Our analytic proof provides strict mathematic explanations for the deterministic characterization of the ergodicity, which can be used for studying the consensus over random graphs and the formation of opinion parties.