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Titlebook: Nuclear Tests; Long-Term Consequenc Charles S. Shapiro,Valerie I. Kiselev,Eugene V. Za Conference proceedings 1998 Springer-Verlag Berlin H

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樓主: Optician
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33#
發(fā)表于 2025-3-27 08:57:29 | 只看該作者
Valery I. Kiselev,Evgeny V. Zaitsev40s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book
34#
發(fā)表于 2025-3-27 11:43:18 | 只看該作者
A. M. Matuschenko,G. A. Tsyrkov,A. K. Chernyshov,Yu. V. Dubasov,G. A. Krasilov,V. A. Logachev,S. G. 40s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book
35#
發(fā)表于 2025-3-27 14:49:15 | 只看該作者
Yury A. Izrael,Evgeny D. Stukin,Yury S. Tsaturovnfluence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses o
36#
發(fā)表于 2025-3-27 19:28:58 | 只看該作者
Vladimir I. Djachenko,Michail N. Gabbasov,Valery I. Kiselev,Anatoly A. Lagutin,Vladimir M. Loborev,Anfluence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book focuses o
37#
發(fā)表于 2025-3-28 01:11:35 | 只看該作者
38#
發(fā)表于 2025-3-28 03:01:49 | 只看該作者
Yury A. Izrael,B. I. Ognev,Alexey G. Ryaboshapko,Evgeny D. Stukin40s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book
39#
發(fā)表于 2025-3-28 06:26:53 | 只看該作者
Jakov N. Shoikhet,Anatoly I. Algazin,Valery I. Kiselev,Evgeny V. Zaitsev,Vladimir B. Kolyado,Vladimic naturalness of its initial notions and problems, the unity of its methods, and a breadth that far exceeds that of its basic concepts. It is more often that its power begins to be displayed when one moves outside its own limits. This characteristic ability is seen when one investigates not only com
40#
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