Sentence examples for maximum achievable number from inspiring English sources

Specifically, for a uniform linear array2 (ULA) with isotropic elements, the maximum achievable number of approximately orthogonal beams is equal to twice the array length normalized to the wavelength, since the angular resolution allowed by the array, in the directional cosine domain (−1,1) is roughly equal to the inverse of the normalized array length [3, Chap. 7].

To determine multiplicity of infection we used the methodology described by Keele et al. [46], and found that 12 out of 42 cases (29%; including one acutely infected subject) were likely to be infected with distinct viral variants as evident by the maximum achievable gag diversity of more than 1% and maximum achievable number of differences (Hamming distances) of 14 or more.

The best choice of material pairs for composing a depth-graded multilayer structure is discussed from the viewpoint of maximum achievable reflectivity and least number of bi-layers.

The first problem calculates the maximum achievable reduction in the number of input decision variables and prediction horizon length, subject to the controller's region of attraction containing a specified subset of the state space.

This rule obviously targets the maximum achievable channel selectivity (i.e., number of independent channel fading) within each GF q) symbol under the constraint of the second rule.

In principle the maximum achievable absorbance Aav should increase with the number of layers M, but with some exceptions.

We comprehensively sampled the flux space corresponding to a growth rate of at least 90% of the maximum achievable growth rate and generated a large number (~10) of flux vectors.

Low sample quality will reduce the maximum achievable %L score, whilst gene copy numbers will impose absolute limits in all specimens.

It can be observed that as the number of users increases, the maximum achievable rate of the median user increases, due to multiuser diversity.

Thus, the given rate for each station is the maximum achievable capacity of the wireless network divided by the number of wireless stations.

This is because the total achievable throughput R t for this case is equal to the maximum achievable throughput of each channel multiplied by the total number of in-band channels, i.e., R t =R·I (due to the above assumptions, we have R (i =R, ∀i); hence, the larger I, the higher ε irrespective of the D t.