Sentence examples for estimation of a threshold from inspiring English sources

The main challenge in speech enhancement approaches based on the thresholding of the DWT coefficients of the noisy speech is the estimation of a threshold value that marks a difference between the DWT coefficients of noise and that of clean speech.

For the estimation of a threshold value, a parametric reference interval calculation was subsequently performed [ 38].

Estimation of a threshold limit value (TLV) is an important task in many medical areas, where risk factors are often scrutinized for values beyond which important medical or political decisions need to be taken – e.g. beyond which blood pressure value one should prescribe antihypertensive.

A fundamental difficulty is selection or estimation of an appropriate threshold or interval of thresholds, of particular concern since inferences for return values vary with threshold choice.

Note that the methods of Clauset et al [14] for fitting power laws to empirical data include an estimation of a lower threshold of event duration, below which the distribution does not exhibit power law behavior.

For the decision on the presence or absence of a particular function under noisy conditions we propose a statistical mixture model enabling unsupervised estimation of a detection threshold.

To accommodate light, growth, and individual positioning variation, we developed a hierarchical linear model for estimation of a background threshold (see Materials and Methods).

Post hoc supportive analyses using distribution-based approaches were also conducted after completion of the a priori specified anchor-based analyses to further supplement estimation of a responder threshold.

Note that, the estimation of an optimum threshold value k has been addressed by several authors [29, 50, 67, 68].

However, the calculated median of the maximum dorsal displacement of 32o is just shy of the maximum of 34o recorded in one of the specimens, indicating that these factors are of less importance and that this may therefore represent a fair estimation of an upper threshold angle, which may of course vary between individuals.

Estimation of a genomewide significance threshold gives a baseline that can justify both pragmatic and principled approaches to selecting loci for follow up.