Sentence examples for candidate coefficients from inspiring English sources

Exhaustive search of patterns, where is the number of candidate coefficients and is the number of embedded bits, seems inevitable.

We chose to embed in the spatial-frequency domain instead of the Fourier domain because the symmetry of the Fourier magnitude would decrease the number of candidate coefficients for watermarking and thus the embedding capacity.

In the proposed method, an equation structure is assumed at the level of the differential equation and a population of candidate coefficient vectors undergo evolutionary training.

In the proposed method, an equation structure is assumed at the level of the ordinary differentia l equation and a population of candidate coefficient vectors undergoes evolutionary training.

We did this using YADAS by randomly choosing starting coefficient values from the parameters' prior distributions, proposing small changes to each coefficient, and accepting the changed values with a probability determined by the ratio of the posterior probability of the data given these candidate coefficient values to the posterior probability of the data given the current coefficient values.

Following a suggestion described by Finlay et al. (2010b), the applicability of the IRLS using Huber weights on the candidate model coefficients, thus treating the set of K values for each coefficient ({g_{n}^{m}}) (or ({h_{n}^{m}})) independently, was considered.

While there is a large variation between proposed IGRF-11 SV candidate models, the coefficients derived from the steady flow model are within the range of most of the candidate models, indicating it is not an unreasonable estimate.

where denotes candidates for optimal prediction coefficients, denotes a candidate for an optimal pitch lag, and determines the filter order.

For each wavelet coefficient candidate to thresholding, T is calculated by comparing the sum of neighboring coefficients to λ.

By identifying the most distanced GO terms from query keywords and selecting housekeeping gene candidates with low coefficients of variation among different spatio-temporal datasets, the proposed method can automatically enumerate a set of functionally irrelevant housekeeping genes for pratical normalization.

With each step, expression indices were computed for all possible additions and scored by univariate Cox regression to determine the optimal order of addition and candidate subset (largest coefficient or minimum P).