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Titlebook: Nonlinear Time Series and Signal Processing; R. R. Mohler Book 1988 Springer-Verlag Berlin Heidelberg 1988 acoustics.control.detection.dyn

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发表于 2025-3-21 19:45:27 | 显示全部楼层 |阅读模式
书目名称Nonlinear Time Series and Signal Processing
编辑R. R. Mohler
视频video
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Nonlinear Time Series and Signal Processing;  R. R. Mohler Book 1988 Springer-Verlag Berlin Heidelberg 1988 acoustics.control.detection.dyn
描述This monograph provides a sample of relevant new results on dynamical nonlinear statistical modeling and estimation which forms a basis for more effective signal processing, decision and control. While the research literature is rich in linear Gaussian methodologies, new contributions to the most relevant area of nonlinear and non-Gaussian processes have been scarce. Among the significant areas of application for which such methodologies are needed are: economics, biology, immunology, underwater acoustics, electric power generation, chemical process control, and variable structure systems in general. The latter include adaptive, intelligent, and decomposing mathematical structures or processes. The volume includes ten research papers on theory, computational methods, and applications. Topics include filtering with application to inertial navigation, structural-change detection, bilinear time-series models, bispectral estimation, threshold models, catastrophic models and a generalized eigenstructure method.
出版日期Book 1988
关键词acoustics; control; detection; dynamical systems; filtering; process control; signal processing
版次1
doihttps://doi.org/10.1007/BFb0044270
isbn_softcover978-3-540-18861-2
isbn_ebook978-3-540-38837-1Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1988
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书目名称Nonlinear Time Series and Signal Processing影响因子(影响力)




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发表于 2025-3-21 20:27:56 | 显示全部楼层
Spectral and bispectral methods for the analysis of nonlinear (non Gaussian) time series signals,eries model can be a useful alternative when the time series is nonlinear. We illustrate the estimation methods with many simulated and one real data set. The real data is concerned with the magnetic reversals.
发表于 2025-3-22 01:51:54 | 显示全部楼层
Book 1988tive signal processing, decision and control. While the research literature is rich in linear Gaussian methodologies, new contributions to the most relevant area of nonlinear and non-Gaussian processes have been scarce. Among the significant areas of application for which such methodologies are need
发表于 2025-3-22 07:19:11 | 显示全部楼层
Bivariate bilinear models and their specification,bivariate bilinear models by looking at these tables. It may also be possible to distinguish the lags of the particular model by carefully looking at the table..It may be more interesting to look at the third order cross moment table for a few more general bivariate bilinear models.
发表于 2025-3-22 09:02:34 | 显示全部楼层
Nonlinear processing with Mth-order signals,ls. The second order is readily available to any signal processing technique with a linear observation equation. On the other hand, to be able to use higher-order eigenstructures, though Gaussianity is not enforced, powerful simplifications occur if the odd moments of the noises vanish.
发表于 2025-3-22 16:21:16 | 显示全部楼层
0170-8643 bilinear time-series models, bispectral estimation, threshold models, catastrophic models and a generalized eigenstructure method.978-3-540-18861-2978-3-540-38837-1Series ISSN 0170-8643 Series E-ISSN 1610-7411
发表于 2025-3-22 21:01:51 | 显示全部楼层
On the application of kalman filtering to correct errors due to vertical deflections in inertial na
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Nonlinear time series analysis for dynamical systems of catastrophe type,
发表于 2025-3-23 08:20:10 | 显示全部楼层
Book 1988ory, computational methods, and applications. Topics include filtering with application to inertial navigation, structural-change detection, bilinear time-series models, bispectral estimation, threshold models, catastrophic models and a generalized eigenstructure method.
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