DocumentCode :
323270
Title :
On-field determination of the minimum-noise filter for digital radiation spectrometers
Author :
Pullia, Alberto ; Geraci, Angelo ; Ripamonti, Giancarlo
Author_Institution :
Dipt. di Elettronica e Inf., Politecnico di Milano, Italy
fYear :
1997
fDate :
9-15 Nov 1997
Firstpage :
722
Abstract :
An experimental method which permits to quickly determine the minimum-noise filter to be used in high-resolution digital spectrometry is presented. First the spectral density of noise as referred to the spectrometer input-which basically dictates the shape of the optimal filter-is determined by means of established digital-signal-processing techniques. By a least-mean-square fitting procedure the individual noise components (white, Lorentzian and high order contributions in both the series and the parallel equivalent input noises) are then disentangled out of the overall noise density. These latter are used to feed a software procedure which computes the optimal-filter weight function, having the option to introduce an adequate finite width and a flatted top around the measurement time
Keywords :
detector circuits; nuclear electronics; signal processing; Lorentzian noise; digital radiation spectrometers; digital-signal-processing; finite width; flatted top; high-resolution digital spectrometry; individual noise components; least-mean-square fitting; measurement time; minimum-noise filter; on-field determination; optimal-filter weight function; overall noise density; parallel equivalent input noises; series equivalent input noises; spectral density; spectrometer input; white noise; Analog-digital conversion; Digital filters; Feeds; Finite impulse response filter; Noise shaping; Preamplifiers; Shape; Spectroscopy; Time domain analysis; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium, 1997. IEEE
Conference_Location :
Albuquerque, NM
ISSN :
1082-3654
Print_ISBN :
0-7803-4258-5
Type :
conf
DOI :
10.1109/NSSMIC.1997.672684
Filename :
672684
Link To Document :
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