Sentence examples for threshold processing from inspiring English sources

This makes it difficult to remove the noise through ordinary threshold processing.

Since FD-ISFA estimated the sound activity for each frequency bin independently, we calculated the number of active bins for each time frame and determined the source activity of each time frame by using threshold processing.

By manipulating the emotional valence (positive, neutral, negative) and the presentation time (16 ms, 32 ms, 80 ms) we measured the impact of these variables on conscious and subliminal (i.e. below threshold) processing.

The value used for the algorithm (required for threshold processing) is 15.

Scholars have studied all kinds of threshold processing technologies, including global threshold value, adaptive threshold value, and the best threshold value.

Experimental results using synthetic records and field data prove that the proposed algorithm recovers events with better continuity and suppresses noise more effectively than threshold processing in the DTCWT domain.

The key features of the presented solution are: low power consumption (2.5 mW/channel), charge and time measurements with linear transfer characteristic (INL=1.8%), large dynamic range (>10 fC) and linear transfer characteristics of Time-over-Threshold processing.

In order to detect the speech frame more clearly, a local threshold processing-based approach is adopted, which processes the amplitude of the R continuous frames, tmp t, k), as follows.

Select a reference block Y R and calculate the Euclidean distance between Y R and candidate blocks Y x in the search window as: dleft( {{Y_R},{Y_x}} right) = frac{{{|| r^prime }left( {Y_R} right) - {r^prime }left( {Y_x} right)||_2^2}}{{{{left( {N_1} right)}^2}}} (6 where r′ is a pre-threshold processing to prevent the erroneous grouping caused by large noise variance.

With saliency extraction and thresholding processing, the potential targets map is obtained, and then morphological operation is used for noise suppression.

Some insight into how the basic models produce their responses can be gleaned from considering the sub-threshold processing of the inputs for these three examples.