H. Takahashi, N. Shaaban, Q.W. Wang, J. Yeom, M. Nakazawa
{"title":"基于遗传算法的快速数字化专用集成电路自适应信号处理","authors":"H. Takahashi, N. Shaaban, Q.W. Wang, J. Yeom, M. Nakazawa","doi":"10.1109/NSSMIC.2003.1352652","DOIUrl":null,"url":null,"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.","PeriodicalId":186175,"journal":{"name":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC\",\"authors\":\"H. Takahashi, N. Shaaban, Q.W. Wang, J. Yeom, M. Nakazawa\",\"doi\":\"10.1109/NSSMIC.2003.1352652\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":186175,\"journal\":{\"name\":\"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.2003.1352652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2003.1352652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive signal processing with genetic algorithm optimum filter for fast digitizer ASIC
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.