Nonlinear time series and signal processing

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 re...

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Andre forfattere: Mohler, Ronald R., 1931- (Éditeur intellectuel)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin ; Paris [etc.] : Springer-Verlag : Springer e-books [20..].
Cham : Springer Nature
Serier:Lecture notes in control and information sciences 106
Fag:
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Edition sous un autre format:• Nonlinear time series and signal processing, R.R. Mohler, editor, Berlin, Springer-Verlag, 1988, 1 vol. (145 p.), Lecture notes in control and information sciences, 0-387-18861-4
• Nonlinear Time Series and Signal Processing, Texte imprimé, 9783662211069
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245 0 0 |a Nonlinear time series and signal processing   |c [edited by] R. R. Mohler. 
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505 0 |a Contents: On the Application of Kalman Filtering to Correct Errors due to Vertical Deflection in Inertial Navigation -- Filtering and Detection Problems for Nonlinear Time Series -- Spectral and Bispectral Methods for the Analysis of Nonlinear (Non-Gaussian) Time-Series Signals -- Bilinear Time Series: Theory and Application -- Bivariate Bilinear Models and Their Identification -- Nonlinear Time Series Modelling in Population Biology -- The Akaike Information Criterion in Threshold Modelling -- Nonlinear Time Series Analysis for Dynamical Systems of Catastrophe Type -- Nonlinear Processing with M-th Order Signals -- Stochastic Circulatory Lymphocyte Models. 
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520 |a 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. 
650 |a Traitement du signal 
650 |a Théories non linéaires 
650 |a Théorie de la commande 
650 |a Série chronologique 
650 |a Ingénierie 
650 |a Calcul des variations 
700 1 |a Mohler, Ronald R.,  |d 1931-  |4 edt 
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