Sentence examples for coherence models from inspiring English sources

Several coherence models for diffuse noise field have been proposed [36 38].

Internal coherence models take certain external influences as given, and model the preference change as an accommodation of these external influences.

In subsequent studies, several coherence models for binaural noise field considering the shadowing effect of the head have been proposed [22, 37, 38].

In this process, at least three different noise coherence models can be assumed: (1) uncorrelated noise, (2a) free-field spherically isotropic diffuse noise, and (2b) measured or semi-analytical head-related coherence.

Moreover, the following noise coherence models can be considered here: (1) free-field diffuse noise coherence, (2) the head-related coherence model [51], and (3) head-related coherence estimates.

The resultant model response is shown for each combination of coherence and duration in F. DOI: http://dx.doi.org/10.7554/eLife.00699.005 10.7554/eLiFigure99.006 Figure 3 Figure supplement 1. Temporal coherence models for other SFG stimuli.

This assumption, however, has been generalized to a low-frequency coherent noise using the coherence model of spherically ideal diffuse noise [37].

Further, the authors concisely provide modeling data and evidence that the temporal coherence model is the most appropriate model for explaining how this foreground/background segregation develops.

Therefore, we suggest using the 2D head-related coherence model proposed in [51].

The n 0,i (t) is a computer-generated diffuse WGN [62] such that its coherence function follows a 2D head-related coherence model [51].

The ambient noise is the isotropic diffuse noise generated by the algorithm in [62] with the 2D coherence model at 0 dB SNR.