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)

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