GRAIN
发表于 2025-3-25 03:19:38
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HALL
发表于 2025-3-25 11:10:38
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CRP743
发表于 2025-3-25 13:02:45
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LUT
发表于 2025-3-25 18:46:02
https://doi.org/10.1007/978-3-322-85041-6 200 ⩽ Δ ⩽ 1000km. We discuss the application of sequential change detection algorithms and a posteriori maximum likelihood estimation for these signals..This paper is a short summary of the preprint “Package of algorithms for preliminary on-line processing of three-dimensional seismograms”. Far Eas
Postmenopause
发表于 2025-3-25 20:29:17
https://doi.org/10.1007/BFb0006385Signals; Systems; algorithms; cognition; dynamical systems; segmentation; signal processing
预知
发表于 2025-3-26 03:06:56
978-3-540-16043-4Springer-Verlag Berlin Heidelberg 1986
Fecal-Impaction
发表于 2025-3-26 07:56:56
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光亮
发表于 2025-3-26 09:59:54
Advanced methods of change detection: An overview,e engineering community: on-line versus off-line points of view; local tests versus GLR methods, etc... I hope that the reader will be attracted enough to go through the more mathematical material of the next chapters.
dragon
发表于 2025-3-26 14:43:45
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Fresco
发表于 2025-3-26 18:25:38
Gated Communities and the Digital PolisThis chapter is concerned with sequential detection of changes in stochastic systems based upon the local approach for testing statistical hypotheses and different extensions of the cumulative sum algorithm. The properties, the tuning and the application of these algorithms are investigated. A large attention is paid to the case of ARMA models.