Sentence examples for subject signal from inspiring English sources
The phrase "subject signal" is correct and usable in written English.
It can be used in contexts related to linguistics, communication, or signal processing, where it refers to a signal that indicates the subject of a sentence or a topic of discussion. Example: "In the study of syntax, the subject signal plays a crucial role in determining the structure of a sentence."
For the biological replicates (multiple samples from one subject), signal intensities were averaged for each probe.
The spectrograms of single human subject and two human subject signals are shown in Figures8 and9 respectively.
This text appeared until the end of the session or until the subject signalled the beginning of a new AVH.
The subject signaled the onset of feeling the tested sensation by pressing a switch, which in turn reversed the temperature change and returned the temperature of the thermode to the 32 degree Celsius baseline temperature.
The pressure pain threshold was measured in 3 ramps of increasing pressure intensities of ca. 50 kPa/s until the subject signalled the first feeling of pain in addition to the pressure sensation.
Additionally, evidence is presented that across-subject hypothesis tests may be more sensitive when conducted using perfusion imaging, despite the better within-subject signal to noise obtained in some cases with BOLD.
Therefore, we examined if within-subject signal changes as a function of PM condition (OG > PM) or stimulus condition (SO > SI) can be accounted for by associated differences in performance (as indices of relative "task difficulty").
In scans of the subjects, signal intensity was measured with regions of interest (ROI) > 1 cm: 3 in the right lobe of the liver, avoiding vascular structures, and 2 in the paraspinous muscles.
Subjects signalled their decision by pressing a response button on the side (left or right) where they detected the numerically or physically larger digit (Response Hand factor).
Convergence waveforms of both RIC and nonlinear RC models' parameters processed for five different breath cycles were given in Figures 8 and 9 for the representative COPD patient's signals and healthy subject's signals, respectively.
But remember this is a radio, subject to signal interference and static.
