The values of M in GFDM and GOFDM configurations are not equal; thus, we consider GOFDM configuration parameters as the reference and calculate its complexity relative to GFDM complexity with equal K but M values increased by 1.
Figure 7 Complexity of the second decoding stage ( M c M p = 16 8, E b / N 0 = 8 dB). Figure 8 shows the total complexity of the proposed two-stage decoding algorithm relative to the complexity of ML decoding as a function of Δ fT s.
Therefore is it a journalist's responsibility to seek out knowledgeable and credible sources relative to the complexity of the issue being covered?
Unfortunately, the science underlying linked abiotic biotic processes in rivers is still rudimentary, relative to the complexity of the ecosystem to design and build process-based solutions with the same success evident in the practice of medicine or the manufacture of buildings and other civil structures.
RCN values exhibit greater levels of uncertainty relative to refinery complexity calculations.
These approaches rely on different model selection strategies and use different criteria to evaluate model fit relative to its complexity.
A main advantage of the grid-based TSSG tracker here is that state estimation becomes possible via KF applied to linear state and measurement models, at considerably reduced computational burden relative to the complexity incurred by the PHD and BOF.
Such an interplay would complicate the overall pattern of directional epistasis relative to regulatory complexity.
This may be explained by noting that mESCs are derived by clonal expansion and cultured in homogeneous conditions relative to the complexity of cellular niches within the embryo.
To prevent overparameterization of the model, we use only trend variables selected through a geostatistical adaptation of the Bayesian information criterion (BIC), wherein models with different subsets of trend variables are compared based on their BIC score, and the model with the lowest BIC score is optimal in terms of its explanatory power relative to its complexity.
In this study, we used the Bayesian information criterion (BIC), where models with different sets of predictor variables (X s ) are compared based on their BIC scores, which quantify the explanatory power of a model relative to its complexity, with the lowest score indicating the model with optimal balance.
