Correlation method for pattern recognition
A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into...
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| Опубліковано в: : | Semiconductor Physics Quantum Electronics & Optoelectronics |
|---|---|
| Дата: | 2002 |
| Автори: | , , |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2002
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| Онлайн доступ: | https://nasplib.isofts.kiev.ua/handle/123456789/121354 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Цитувати: | Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ. |
Репозитарії
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nasplib_isofts_kiev_ua-123456789-121354 |
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Yezhov, P.V. Kuzmenko, A.V. Komarov, V.A. 2017-06-14T07:48:53Z 2017-06-14T07:48:53Z 2002 Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ. 1560-8034 PACS: 42.30.Sy, 42.30.Wb, 42.79.Hp https://nasplib.isofts.kiev.ua/handle/123456789/121354 A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into a computer by ordinary methods. This principle allows to solve the unification of the correlation functions and recognition attributes selection problem using a unified, identified object's class-independent method. Presented experimental results confirm applicability of this approach. en Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України Semiconductor Physics Quantum Electronics & Optoelectronics Correlation method for pattern recognition Article published earlier |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| title |
Correlation method for pattern recognition |
| spellingShingle |
Correlation method for pattern recognition Yezhov, P.V. Kuzmenko, A.V. Komarov, V.A. |
| title_short |
Correlation method for pattern recognition |
| title_full |
Correlation method for pattern recognition |
| title_fullStr |
Correlation method for pattern recognition |
| title_full_unstemmed |
Correlation method for pattern recognition |
| title_sort |
correlation method for pattern recognition |
| author |
Yezhov, P.V. Kuzmenko, A.V. Komarov, V.A. |
| author_facet |
Yezhov, P.V. Kuzmenko, A.V. Komarov, V.A. |
| publishDate |
2002 |
| language |
English |
| container_title |
Semiconductor Physics Quantum Electronics & Optoelectronics |
| publisher |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| format |
Article |
| description |
A new approach towards solving the pattern recognition problems in hybrid optical/digital correlators is suggested. The method is based on the authors' know-how-principle of transforming the field intensity or amplitude data on the identified object assuming that these data may be entered into a computer by ordinary methods. This principle allows to solve the unification of the correlation functions and recognition attributes selection problem using a unified, identified object's class-independent method. Presented experimental results confirm applicability of this approach.
|
| issn |
1560-8034 |
| url |
https://nasplib.isofts.kiev.ua/handle/123456789/121354 |
| citation_txt |
Correlation method for pattern recognition / P.V. Yezhov, A.V. Kuzmenko, V.A. Komarov // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2002. — Т. 5, № 4. — С. 431-433. — Бібліогр.: 3 назв. — англ. |
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AT yezhovpv correlationmethodforpatternrecognition AT kuzmenkoav correlationmethodforpatternrecognition AT komarovva correlationmethodforpatternrecognition |
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2025-11-28T07:30:38Z |
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2025-11-28T07:30:38Z |
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1850853476735647744 |