Automatic Deconvolution in DLTS Signals Analysis
Summary :
The deconvolution of DLTS signals for multiple deep traps has been automated to reduce the data processing time of DLTS signals analysis and to improve the accuracy of the measurement. A linear non-recursive optimum filter is used for the deconvolution and peak-chaining algorithm has been developed to automate the Arrhenius plotting procedure. The design of the filter, the peak-chaining algorithm and an example of the deconvoluted DLTS signal are described as well as a performance evaluation of the method.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E65-E No.12 pp.745-749
- Publication Date
- 1982/12/25
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- Online ISSN
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- Type of Manuscript
- PAPER
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- Semiconductors
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Kunihiro ASADA, Takuo SUGANO, "Automatic Deconvolution in DLTS Signals Analysis" in IEICE TRANSACTIONS on transactions,
vol. E65-E, no. 12, pp. 745-749, December 1982, doi: .
Abstract: The deconvolution of DLTS signals for multiple deep traps has been automated to reduce the data processing time of DLTS signals analysis and to improve the accuracy of the measurement. A linear non-recursive optimum filter is used for the deconvolution and peak-chaining algorithm has been developed to automate the Arrhenius plotting procedure. The design of the filter, the peak-chaining algorithm and an example of the deconvoluted DLTS signal are described as well as a performance evaluation of the method.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e65-e_12_745/_p
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@ARTICLE{e65-e_12_745,
author={Kunihiro ASADA, Takuo SUGANO, },
journal={IEICE TRANSACTIONS on transactions},
title={Automatic Deconvolution in DLTS Signals Analysis},
year={1982},
volume={E65-E},
number={12},
pages={745-749},
abstract={The deconvolution of DLTS signals for multiple deep traps has been automated to reduce the data processing time of DLTS signals analysis and to improve the accuracy of the measurement. A linear non-recursive optimum filter is used for the deconvolution and peak-chaining algorithm has been developed to automate the Arrhenius plotting procedure. The design of the filter, the peak-chaining algorithm and an example of the deconvoluted DLTS signal are described as well as a performance evaluation of the method.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Automatic Deconvolution in DLTS Signals Analysis
T2 - IEICE TRANSACTIONS on transactions
SP - 745
EP - 749
AU - Kunihiro ASADA
AU - Takuo SUGANO
PY - 1982
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E65-E
IS - 12
JA - IEICE TRANSACTIONS on transactions
Y1 - December 1982
AB - The deconvolution of DLTS signals for multiple deep traps has been automated to reduce the data processing time of DLTS signals analysis and to improve the accuracy of the measurement. A linear non-recursive optimum filter is used for the deconvolution and peak-chaining algorithm has been developed to automate the Arrhenius plotting procedure. The design of the filter, the peak-chaining algorithm and an example of the deconvoluted DLTS signal are described as well as a performance evaluation of the method.
ER -
English
