Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences
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Published By Springer Berlin Heidelberg

9783540188612, 9783540388371

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Non-linear time series modelling in population biology: A preliminary case study

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044276 ◽

2006 ◽

pp. 75-87 ◽

Cited By ~ 3

Author(s):

H Tong

Keyword(s):

Time Series ◽

Population Biology ◽

Linear Time ◽

Time Series Modelling ◽

Non Linear

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Stochastic circulatory lymphocyte models

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044280 ◽

2006 ◽

pp. 130-145

Author(s):

Z. H. Farooqi ◽

R. R. Mohler

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Spectral and bispectral methods for the analysis of nonlinear (non Gaussian) time series signals

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044273 ◽

2006 ◽

pp. 18-42 ◽

Cited By ~ 2

Author(s):

T. Subba Rao

Keyword(s):

Time Series ◽

Non Gaussian ◽

Gaussian Time ◽

Gaussian Time Series

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Nonlinear processing with Mth-order signals

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044279 ◽

2006 ◽

pp. 119-129 ◽

Cited By ~ 1

Author(s):

F. J. Bugnon ◽

R. R. Mohler

Keyword(s):

Nonlinear Processing

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Filtering and detection problem for nonlinear time series

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044272 ◽

2006 ◽

pp. 10-17

Author(s):

Wojciech J. Kolodziej ◽

Andrzej Pacut

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Detection Problem

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On the application of kalman filtering to correct errors due to vertical deflections in inertial navigation

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044271 ◽

2006 ◽

pp. 1-9

Author(s):

A. V. Balakrishnan

Keyword(s):

Kalman Filtering ◽

Inertial Navigation

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Bivariate bilinear models and their specification

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044275 ◽

2006 ◽

pp. 59-74 ◽

Cited By ~ 1

Author(s):

Kuldeep Kumar

Keyword(s):

Bilinear Models

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Nonlinear time series analysis for dynamical systems of catastrophe type

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044278 ◽

2006 ◽

pp. 97-118 ◽

Cited By ~ 2

Author(s):

Loren Cobb ◽

Shelemyahu Zacks

Keyword(s):

Time Series ◽

Dynamical Systems ◽

Time Series Analysis ◽

Nonlinear Time Series ◽

Nonlinear Time Series Analysis ◽

Series Analysis

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The akaike information criterion in threshold modelling: Some empirical evidences

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044277 ◽

2006 ◽

pp. 88-96 ◽

Cited By ~ 2

Author(s):

W. K. Li

Keyword(s):

Akaike Information Criterion ◽

Information Criterion

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Bilinear time series: Theory and application

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences ◽

10.1007/bfb0044274 ◽

2006 ◽

pp. 43-58

Author(s):

Z. Tang ◽

R. R. Mohler

Keyword(s):

Time Series

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Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information SciencesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Non-linear time series modelling in population biology: A preliminary case study

Stochastic circulatory lymphocyte models

Spectral and bispectral methods for the analysis of nonlinear (non Gaussian) time series signals

Nonlinear processing with Mth-order signals

Filtering and detection problem for nonlinear time series

On the application of kalman filtering to correct errors due to vertical deflections in inertial navigation

Bivariate bilinear models and their specification

Nonlinear time series analysis for dynamical systems of catastrophe type

The akaike information criterion in threshold modelling: Some empirical evidences

Bilinear time series: Theory and application

Nonlinear Time Series and Signal Processing - Lecture Notes in Control and Information Sciences
Latest Publications