Nonlinear Time Series and Signal Processing (Lecture Notes in Control and Information Sciences, 106) - Softcover
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.
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- PublisherSpringer
- Publication date1988
- ISBN 10 3540188614
- ISBN 13 9783540188612
- BindingPaperback
- Edition number1
- Number of pages155
- EditorMohler Ronald R.
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Nonlinear Time Series and Signal Processing (Lecture Notes in Control and Information Sciences, 106)
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Book Description Condition: New. Series: Lecture Notes in Control and Information Sciences. Num Pages: 155 pages, 9 black & white illustrations, biography. BIC Classification: GPFC; PBKQ; TJFM. Category: (G) General (US: Trade). Dimension: 244 x 170 x 9. Weight in Grams: 290. . 1988. Paperback. . . . . Seller Inventory # V9783540188612
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Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783540188612
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Nonlinear Time Series and Signal Processing
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(1988)
ISBN 10: 3540188614
ISBN 13: 9783540188612
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Book Description Condition: New. Series: Lecture Notes in Control and Information Sciences. Num Pages: 155 pages, 9 black & white illustrations, biography. BIC Classification: GPFC; PBKQ; TJFM. Category: (G) General (US: Trade). Dimension: 244 x 170 x 9. Weight in Grams: 290. . 1988. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783540188612
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 meth. Seller Inventory # 4883939
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch. Seller Inventory # 9783540188612
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