ADAPTIVE DIGITAL FILTER PROVIDES BETTER REAL-TIME PREDICTIONS OF EXPIRED ANESTHETIC GASES THAN CLASSIC PHYSIOLOGIC MODEL

1991 ◽  
Vol 75 (3) ◽  
pp. A496-A496
Author(s):  
G. L. Gibby ◽  
E. A. Martinez
Author(s):  
Alejandro D. Martinez R. ◽  
On behalf of DarkSide Collaboration

This paper presents real-time digital filter algorithms to be applied within dark matter and neutrino measurements. The digital signal processing algorithm implements a trapezoidal pulse-shaper programmed on FPGA at 125 MHz. The real-time filter algorithm enhances the SNR of a digitized signal from a photo detection module (SiPM, cryogenic front-end electronics & 14-bits ADC). The trapezoidal filter upgrades the signal to noise ratio (SNR) from 10.4 to 15.4 with a total increment of 50%. The total on-chip power is 0.198 W.


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