Sentence examples for data remains constant from inspiring English sources

Assuming that the time of data transmission for a fixed-sized data remains constant across all the multiple available paths and is denoted here by "λ".

Notice that in the 10 to 100 pg region (1 to 2 log mass units), the match case data linearly ramp up to the maximum match information value of 22. Beyond that point, in the 100 to 1000 pg region (2 to 3 log mass units), the information data remains constant at this maximum.

The antiparasitic data remains constant for all the compounds ranging between 7 and 14 μM for 7, 8, 11 and 12, although the selectivity decreases compared to mammalian cells.

The amplitude of the second retrieved data pulse remains constant as does its original amplitude.

Figure 2(a) shows that the waveform of the data-0 has a transition edge imposed at the middle point of the symbol period whereas the waveform of the data-1 remains constant.

A final limitation of the models, which estimate future prevalence rate of short-acting methods from the past relationship of the logistics data and the DHS prevalence rate data, is that they rely on an implicit assumption that the relationship between logistics data and client use remains constant over time.

The proportion of missing data varies over the years, but the proportion of cases with at least some missing data remains fairly constant across years.

Compete has always been rather quiet about the way they actually gather data — and at times, it has sounded rather sketchy — but the fact of the matter remains constant: the data stinks.

Bicoherence analysis is able to detect coherent signals in extremely noisy data, provided that the coherency remains constant for sufficiently long times, since the noise contribution falls off rapidly with increasing N. The auto- and cross-bispectrum of a nonlinear system is presented by Pezeshki [62, 63].

Note that we assume a block-fading channel, where H remains constant during the transmission of a data frame.

Before constructing the model, we have to identify the stationary state of observed data in the series, of which the mean value remains constant.