Nonlinear Time Series and Signal Processing

Ronald R. Mohler

ISBN 10: 3540188614 / ISBN 13: 9783540188612

Published by Springer, Springer Vieweg, 1988

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783540188612

Bibliographic Details

• Title: Nonlinear Time Series and Signal Processing
• Publisher: Springer, Springer Vieweg
• Publication Date: 1988
• Language: English
• ISBN 10: 3540188614
• ISBN 13: 9783540188612
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 9D millimeters 244 millimeters width by 170 millimeters height by 9 millimeters depth
• Weight: 289 grams

About this title

Synopsis

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.