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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Detalles Bibliográficos
Outros autores: Mohler, Ronald R., 1931- (Éditeur intellectuel)
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin ; Paris [etc.] : Springer-Verlag : Springer e-books [20..].
Cham : Springer Nature
Series:Lecture notes in control and information sciences 106
Sujets:
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
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
Table des matières:
  • 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.