DocumentCode
1834471
Title
Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC
Author
Takahashi, H. ; Shaaban, N. ; Wang, Q.W. ; Yeom, Jung Yeol ; Nakazawa, M.
Author_Institution
Tokyo Univ., Japan
Volume
5
fYear
2003
fDate
19-25 Oct. 2003
Firstpage
3441
Abstract
Signal processing for compound semiconductor detectors is one of the main issues 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.
Keywords
adaptive signal processing; application specific integrated circuits; genetic algorithms; nuclear electronics; physics computing; preamplifiers; radiation detection; semiconductor counters; adaptive optimization technique; adaptive signal processing; compound semiconductor detectors; fast digitizer ASIC; fast digitizers; genetic algorithm optimum filter; moderate grade detectors; multiple preamplifiers; optimum signal processing; radiation measurements; variable gain amplifiers; Adaptive filters; Adaptive signal processing; Application specific integrated circuits; Genetic algorithms; Preamplifiers; Radiation detectors; Semiconductor device measurement; Semiconductor radiation detectors; Signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2003 IEEE
ISSN
1082-3654
Print_ISBN
0-7803-8257-9
Type
conf
DOI
10.1109/NSSMIC.2003.1352652
Filename
1352652
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