Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC

H. Takahashi, N. Shaaban, Q. W. Wang, Jungyeol Yeom, M. Nakazawa

Research output: Contribution to journalConference article

Abstract

Signal processing for compound semiconductor detectors is one of the main issue for expanding use of moderate grade detectors. Although a peak performance is obtained for the best detector, depending on the process difficulty, many detectors are classified into counter grade or less. If optimum signal processing for such moderate grade detectors is developed, compound semiconductor detectors can be applied to many different fields in radiation measurements. We have taken a very flexible digitizing approach to achieve this aim and now we are trying to develop a dedicated ASIC which includes multiple preamplifiers, variable gain amplifiers, and fast digitizers in one chip. Genetic algorithm is an adaptive optimization technique which can be used in many fields. In this paper we describe an adaptive signal processing method with genetic algorithm for a fast digitizer ASIC.

Original languageEnglish
Article numberR8-32
Pages (from-to)3441-3443
Number of pages3
JournalIEEE Nuclear Science Symposium Conference Record
Volume5
Publication statusPublished - 2003 Dec 1
Externally publishedYes
Event2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States
Duration: 2003 Oct 192003 Oct 25

Fingerprint

Semiconductors
application specific integrated circuits
analog to digital converters
genetic algorithms
signal processing
filters
detectors
grade
Radiation
radiation measurement
preamplifiers
counters
amplifiers
chips
optimization

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

Cite this

Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC. / Takahashi, H.; Shaaban, N.; Wang, Q. W.; Yeom, Jungyeol; Nakazawa, M.

In: IEEE Nuclear Science Symposium Conference Record, Vol. 5, R8-32, 01.12.2003, p. 3441-3443.

Research output: Contribution to journalConference article

@article{8c8befa8267d4b6680627a436e848b25,
title = "Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC",
abstract = "Signal processing for compound semiconductor detectors is one of the main issue for expanding use of moderate grade detectors. Although a peak performance is obtained for the best detector, depending on the process difficulty, many detectors are classified into counter grade or less. If optimum signal processing for such moderate grade detectors is developed, compound semiconductor detectors can be applied to many different fields in radiation measurements. We have taken a very flexible digitizing approach to achieve this aim and now we are trying to develop a dedicated ASIC which includes multiple preamplifiers, variable gain amplifiers, and fast digitizers in one chip. Genetic algorithm is an adaptive optimization technique which can be used in many fields. In this paper we describe an adaptive signal processing method with genetic algorithm for a fast digitizer ASIC.",
author = "H. Takahashi and N. Shaaban and Wang, {Q. W.} and Jungyeol Yeom and M. Nakazawa",
year = "2003",
month = "12",
day = "1",
language = "English",
volume = "5",
pages = "3441--3443",
journal = "IEEE Nuclear Science Symposium Conference Record",
issn = "1095-7863",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC

AU - Takahashi, H.

AU - Shaaban, N.

AU - Wang, Q. W.

AU - Yeom, Jungyeol

AU - Nakazawa, M.

PY - 2003/12/1

Y1 - 2003/12/1

N2 - Signal processing for compound semiconductor detectors is one of the main issue for expanding use of moderate grade detectors. Although a peak performance is obtained for the best detector, depending on the process difficulty, many detectors are classified into counter grade or less. If optimum signal processing for such moderate grade detectors is developed, compound semiconductor detectors can be applied to many different fields in radiation measurements. We have taken a very flexible digitizing approach to achieve this aim and now we are trying to develop a dedicated ASIC which includes multiple preamplifiers, variable gain amplifiers, and fast digitizers in one chip. Genetic algorithm is an adaptive optimization technique which can be used in many fields. In this paper we describe an adaptive signal processing method with genetic algorithm for a fast digitizer ASIC.

AB - Signal processing for compound semiconductor detectors is one of the main issue for expanding use of moderate grade detectors. Although a peak performance is obtained for the best detector, depending on the process difficulty, many detectors are classified into counter grade or less. If optimum signal processing for such moderate grade detectors is developed, compound semiconductor detectors can be applied to many different fields in radiation measurements. We have taken a very flexible digitizing approach to achieve this aim and now we are trying to develop a dedicated ASIC which includes multiple preamplifiers, variable gain amplifiers, and fast digitizers in one chip. Genetic algorithm is an adaptive optimization technique which can be used in many fields. In this paper we describe an adaptive signal processing method with genetic algorithm for a fast digitizer ASIC.

UR - http://www.scopus.com/inward/record.url?scp=11944250193&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11944250193&partnerID=8YFLogxK

M3 - Conference article

VL - 5

SP - 3441

EP - 3443

JO - IEEE Nuclear Science Symposium Conference Record

JF - IEEE Nuclear Science Symposium Conference Record

SN - 1095-7863

M1 - R8-32

ER -