Sentence examples for by a factor of n from inspiring English sources

Thus, there is a reduction in the number of multiplications by a factor of N, which becomes significant when the number of blocks N is large.

Compared with the resolution in traditional methods given by Equation (1), the temporal resolution dT can be improved by a factor of n.

An anamorphic processor that reduces the time for digital processing of the fringe patterns by a factor of N (typically 128, 256, or 512) relative to the two-dimensional Fourier transform optical processor (with identical spatial resolution) is demonstrated.

The reduced sensing time is adjusted in the data transmission time, thus increasing the throughput by a factor of N g.

Since the outputs of channelization are oversampled by a factor of N, the sampling rate can be reduced to f s /D, D ≤ N before aliasing occurs[22, 28].

Because the noise is independent at each virtual sensor, the second and third terms in the RHS remain zero-mean complex Gaussian and their variance is reduced by a factor of N t N r.

This modification is simply a scaling by a factor of n/(n - 1), and hence there is no substantial difference in the behaviours of RTI and RTI n -1 (noting that all values of n of interest are large).

where F is any multiple importance sampling estimator using the same total number of samples N. Veach interpreted Theorem 9.5 as a proof of quasi-optimality of balance heuristic with equal count of samples, saying "According to this result, changing the N i can improve the variance by at most a factor of n, plus a small additive term.

What is clear is that correlated genes can interfere with each other, potentially causing a significant reduction in the posterior link probabilities of dynamically similar regulators by as much as a factor of n for n highly correlated regulators.

This implies that the number of segmentation in each selected feature dimension is now larger than the usual case by a factor of 2 n - n fs.

The reason is that the utilized dimensions in such feature selection schemes are reduced by half, causing the partitioning on each feature space to be augmented more rapidly by a factor of 2 n - n fs and thus yielding relatively increasing imprecision of discrete-to-binary mapping as the entropy requirement increases.