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

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

Research output: Contribution to journalConference articlepeer-review


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
Publication statusPublished - 2003
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

ASJC Scopus subject areas

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


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