Mathematics – Probability
Scientific paper
Nov 1991
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1991spie.1541..152j&link_type=abstract
In: Infrared sensors: Detectors, electronics, and signal processing; Proceedings of the Meeting, San Diego, CA, July 24-26, 1991
Mathematics
Probability
Data Storage, Electromagnetic Noise, Linear Arrays, Signal Detectors, Probability Density Functions, Random Variables, Statistics
Scientific paper
This paper estimates the upper and lower bounds of the frame noise of a linear detector array that uses a one-dimensional scan pattern. Using chi-square distribution, it is analytically shown why it is necessary to use the average of the variances and not the average of the standard deviations to estimate these bounds. Also, a criteria for determining whether any excessively noisy lines exist among the detectors is derived from these bounds. Using a Gaussian standard random variable generator, these bounds are demonstrated to be accurate within the specified confidence interval. A silicon detector array is then used for actual dark current measurements. The criterion developed for determination of noisy detectors is checked on the experimentally obtained data.
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