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...

Full description

Bibliographic Details
Other Authors: Mohler, Ronald R. (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1988, 1988
Edition:1st ed. 1988
Series:Lecture Notes in Control and Information Sciences
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