Sampling pulses for optimal timing

Abdelkader Bousselham, Christian Bohm

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

When extracting unknown band-limited pulses from sampled data, the Nyquist criterion defines the minimum sampling frequency. With well-defined pulse shapes and a stationary noise environment one can use matched filters to recover time and amplitude, but this is usually not the case with scintillation detectors. If the noise is not stationary other methods must be used. Our study investigates different timing strategies and how the timing precision depends on ADC resolution and sample rate. It also compares the timing precision with data obtained from an analogue setup. Pulses from an LSO crystal with photomultiplier readout are studied experimentally. Our best method gives in this case a 10% improvement in timing compared to a matched filter approach. Some simulation results are also reported.

Original languageEnglish
Article number4155085
Pages (from-to)320-326
Number of pages7
JournalIEEE Transactions on Nuclear Science
Volume54
Issue number2
DOIs
Publication statusPublished - 1 Apr 2007
Externally publishedYes

Fingerprint

Matched filters
sampling
time measurement
Sampling
Scintillation counters
matched filters
Photomultipliers
pulses
Crystals
scintillation
readout
analogs
detectors
crystals
simulation

Keywords

  • Analog-digital conversion
  • Digital signal processing
  • Sampling methods
  • Timing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Nuclear Energy and Engineering

Cite this

Sampling pulses for optimal timing. / Bousselham, Abdelkader; Bohm, Christian.

In: IEEE Transactions on Nuclear Science, Vol. 54, No. 2, 4155085, 01.04.2007, p. 320-326.

Research output: Contribution to journalArticle

Bousselham, Abdelkader ; Bohm, Christian. / Sampling pulses for optimal timing. In: IEEE Transactions on Nuclear Science. 2007 ; Vol. 54, No. 2. pp. 320-326.
@article{502d982d23db4d1184c8fbba40e54e6c,
title = "Sampling pulses for optimal timing",
abstract = "When extracting unknown band-limited pulses from sampled data, the Nyquist criterion defines the minimum sampling frequency. With well-defined pulse shapes and a stationary noise environment one can use matched filters to recover time and amplitude, but this is usually not the case with scintillation detectors. If the noise is not stationary other methods must be used. Our study investigates different timing strategies and how the timing precision depends on ADC resolution and sample rate. It also compares the timing precision with data obtained from an analogue setup. Pulses from an LSO crystal with photomultiplier readout are studied experimentally. Our best method gives in this case a 10{\%} improvement in timing compared to a matched filter approach. Some simulation results are also reported.",
keywords = "Analog-digital conversion, Digital signal processing, Sampling methods, Timing",
author = "Abdelkader Bousselham and Christian Bohm",
year = "2007",
month = "4",
day = "1",
doi = "10.1109/TNS.2007.892692",
language = "English",
volume = "54",
pages = "320--326",
journal = "IEEE Transactions on Nuclear Science",
issn = "0018-9499",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

TY - JOUR

T1 - Sampling pulses for optimal timing

AU - Bousselham, Abdelkader

AU - Bohm, Christian

PY - 2007/4/1

Y1 - 2007/4/1

N2 - When extracting unknown band-limited pulses from sampled data, the Nyquist criterion defines the minimum sampling frequency. With well-defined pulse shapes and a stationary noise environment one can use matched filters to recover time and amplitude, but this is usually not the case with scintillation detectors. If the noise is not stationary other methods must be used. Our study investigates different timing strategies and how the timing precision depends on ADC resolution and sample rate. It also compares the timing precision with data obtained from an analogue setup. Pulses from an LSO crystal with photomultiplier readout are studied experimentally. Our best method gives in this case a 10% improvement in timing compared to a matched filter approach. Some simulation results are also reported.

AB - When extracting unknown band-limited pulses from sampled data, the Nyquist criterion defines the minimum sampling frequency. With well-defined pulse shapes and a stationary noise environment one can use matched filters to recover time and amplitude, but this is usually not the case with scintillation detectors. If the noise is not stationary other methods must be used. Our study investigates different timing strategies and how the timing precision depends on ADC resolution and sample rate. It also compares the timing precision with data obtained from an analogue setup. Pulses from an LSO crystal with photomultiplier readout are studied experimentally. Our best method gives in this case a 10% improvement in timing compared to a matched filter approach. Some simulation results are also reported.

KW - Analog-digital conversion

KW - Digital signal processing

KW - Sampling methods

KW - Timing

UR - http://www.scopus.com/inward/record.url?scp=34247213958&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34247213958&partnerID=8YFLogxK

U2 - 10.1109/TNS.2007.892692

DO - 10.1109/TNS.2007.892692

M3 - Article

VL - 54

SP - 320

EP - 326

JO - IEEE Transactions on Nuclear Science

JF - IEEE Transactions on Nuclear Science

SN - 0018-9499

IS - 2

M1 - 4155085

ER -