Università degli Studi di Milano   Archivio Istituzionale della Ricerca
Please use this identifier to cite or link to this item: http://hdl.handle.net/2434/205664

Title: Minimum-noise filter for baseline estimation in radiation detection systems
Authors: PULLIA, ALBERTO (First author)
Abstract: Baseline height estimation in nuclear pulse spectrometry can be optimized by using a proper weight-function. The minimum-noise function for baseline estimation in presence of series and parallel white noises, constrained to a finite duration, is theoretically derived in this paper. Baseline restoration can be subsequently performed by subtracting the minimum-noise baseline estimation to the output signal pulse. The overall signal-to-noise performance obtained using the minimum-noise baseline estimation for pulse height correction is compared to that obtained with routinely used Base Line Restorers. An improvement of up to 16% in the Equivalent Noise Charge, with respect to classic baseline restoration, can be theoretically achieved in case of a simple triangular pulse shaping. The minimum-noise baseline weight-function can be synthesized in practice by means of a digital processing unit.
Keywords: digital signal processing ; radiation spectroscopy ; numerical analysis ; optimization ; radiation detectors ; signal filtering; signal to noise ratio ; baseline estimation ; minimum noise baseline estimation ; minimum noise baseline weight function ; minimum noise filter ; digital filters
MIUR subjects: ING-INF/01 - Elettronica
FIS/01 - Fisica Sperimentale
Publication date: 1996
Digital Object Identifier (DOI): 10.1016/0168-9002(96)00171-4
Citation: Minimum-noise filter for baseline estimation in radiation detection systems / A. Pullia, G. Ripamonti. - In: Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment. - ISSN 0168-9002. - ISSN 1872-9576. - 376:1(1996), pp. 82-88.
ISI identifier: A1996UW61400009
Scopus identifier: 0030167471
Type: Article (author)

Files in This Item:

There are no files associated with this item.


SFX Query


Items in AIR are protected by copyright, with all rights reserved, unless otherwise indicated.


Share this record with your
favourite social network:

Del.icio.us

Citeulike

Connotea

Facebook

Stumble it!

reddit

mendeley


 

  Browser supportati Firefox 3+, Internet Explorer 7+, Google Chrome, Safari

ICT Support, development & maintenance are provided by CINECA. Powered on DSpace Software
CINECA