Format:
Online-Ressource (V, 150 p)
,
digital
Edition:
Springer eBook Collection. Engineering
ISBN:
9783540388371
Series Statement:
Lecture Notes in Control and Information Sciences 106
Content:
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
Note:
Literaturangaben
Additional Edition:
ISBN 9783540188612
Additional Edition:
Erscheint auch als Druck-Ausgabe Nonlinear time series and signal processing Berlin : Springer, 1988 ISBN 3540188614
Additional Edition:
ISBN 0387188614
Language:
English
Subjects:
Mathematics
Keywords:
Signalverarbeitung
;
Zeitreihenanalyse
;
Aufsatzsammlung
URL:
Volltext
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