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Experiments and visual comparison showed that the neural detector generated well connected lines with good noise suppression.
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A generic linear multiuser detector generates two decision variables based on the linear combination of the received signal samples.
Normally, the APD detector generates thermal noise; therefore, a threshold is set for signal detection.
An example where the detector generates inaccurate results is provided in Figure 20d.
Harris detector generates approximately 15 matches, and in other case, using the SIFT algorithm, it generates approximately 53 matches.
In this way, the built-in potential makes the UV detector generate photocurrent without any external bias.
The superimposition of four different frequencies (two object beams, two reference beams) on the detector generates six different beat frequencies.
The readout board processes the signals from the detector, generates a histogram as a web page, and works as a web server.
The 176Lu β− in a detector generates about 5000 single counts per second per block or a total random counts of about 1100 s−1 in a four-ring Biograph mCT [49, 50].
The system is considered not under attack if g t <γ, otherwise if g t ≥γ the system is considered to be under attack and the detector generates an alarm.
As the focused laser beam raster scans, each offset detector generates its own image corresponding to light emerging at different lateral distances from the scanning spot.
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