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For every analyzed image, punctuate signals were selected and the threshold level, under which pixels were treated as background noise, was set to 10.
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Background white noise was set at 70 dB.
To take that into account and to include the noise term from the equation, for example background noise and wind noise, DT (including noise) was set to +20 dB.
For each of the spike-in data sets, the background noise was estimated using the Bioconductor implementation of RMA background correction [ 4].
Before testing with each of the six stimulus sets, practice using 50 presentations in no background noise was provided, with feedback (i.e., condition-specific training).
A lot of the background noise was soundbite, opportunist stuff.
The voices were garbled and the background noise was loud.
The ambient background noise was 70 dB.
The background noise was 70 dB.
The background noise level is set to be −104 dBm.
Background noise is estimated using a select set of MM probe signals that are not likely to include effects of non-specific hybridization to the PM target transcript or cross-hybridization to a related target transcript.
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