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.
| ISBN: | 9783540188612 |
| Publication date: | 31st March 1988 |
| Author: | Ronald R Mohler |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 150 pages |
| Series: | Lecture Notes in Control and Information Sciences |
| Genres: |
Automatic control engineering Cybernetics and systems theory Optimization |
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.
Nonlinear Time Series and Signal Processing features in the following genres: Automatic control engineering, Cybernetics and systems theory, Optimization
Nonlinear Time Series and Signal Processing is available in Paperback
Nonlinear Time Series and Signal Processing was written by Ronald R Mohler and published by Springer an imprint of Springer Berlin Heidelberg
Nonlinear Time Series and Signal Processing has 150 pages
Yes it is part of Lecture Notes in Control and Information Sciences series