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- W1948936034 abstract "We have addressed the problem of analyzing the digital pulse waveforms of radiation detector outputs. With the availability of extremely high-speed A/D conversion with good resolution, it is now possible to look more deeply at the waveform shapes than is currently done. In our studies, a new technique of unsupervised pattern recognition has been applied which has demonstrated accurate classification (98.33% in probability) of digital pulse waveforms. To the best of our knowledge, application of such a technique is novel. The preliminary results of this system, which show clearly improved measurement conditions, are therefore very promising." @default.
- W1948936034 created "2016-06-24" @default.
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- W1948936034 date "2002-11-19" @default.
- W1948936034 modified "2023-09-27" @default.
- W1948936034 title "Unsupervised pattern recognition for digital waveform classification from radiation detectors" @default.
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- W1948936034 doi "https://doi.org/10.1109/icassp.1995.480131" @default.
- W1948936034 hasPublicationYear "2002" @default.
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