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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Bibliographic Details
Other Authors: Mohler, Ronald R. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1988, 1988
Edition:1st ed. 1988
Series:Lecture Notes in Control and Information Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 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