Total Least Squares and Errors-in-Variables Modeling

Van Huffel, Sabine; Lemmerling, Philippe

Total Least Squares and Errors-in-Variables Modeling

Edited by Sabine Van Huffel and Philippe Lemmerling

in Springer Books from Springer

Date: 2002
ISBN: 978-94-017-3552-0
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Chapters in this book:

Introduction to Total Least Squares and Errors-In-Variables Modeling: Sabine Van Huffel and Philippe Lemmerling
TLS and Its Improvements by Semiparametric Approach: Shun-ichi Amari and Motoaki Kawanabe
Unifying Least Squares, Total Least Squares and Data Least Squares: Christopher C. Paige and Zdeněk Strakoš
Bounds for the Least Squares Residual Using Scaled Total Least Squares: Christopher C. Paige and Zdeněk Strakoš
Recent Developments in Rank Revealing and Lanczos Methods for TLS-Related Problems: Ricardo D. Fierro and Per Christian Hansen
A Regularized Total Least Squares Algorithm: Hongbin Guo and Rosemary A. Renaut
The Parametric Quadratic Form Method for Solving TLS Problems with Elementwise Weighting: Amedeo Premoli and Maria Luisa Rastello
Structured Total Least Squares: Philippe Lemmerling and Sabine Van Huffel
Fast Structured Total Least Squares Algorithms via Exploitation of the Displacement Structure: Nicola Mastronardi, Philippe Lemmerling and Sabine Van Huffel
The Extended STLS Algorithm for Minimizing the Extended LS Criterion: Arie Yeredor
Bayesian Smoothing for Measurement Error Problems: Scott M. Berry, Raymond J. Carroll and David Ruppert
On the Polynomial Measurement Error Model: Chi-Lun Cheng and Hans Schneeweiss
On Consistent Estimators in Nonlinear Functional Errors-In-Variables Models: Alexander Kukush and Silvelyn Zwanzig
On Consistent Estimators in Linear and Bilinear Multivariate Errors-In-Variables Models: Alexander Kukush, Ivan Markovsky and Sabine Van Huffel
Identification of Semi-Linear Models within an Errors-In-Variables Framework: Rik Pintelon and Johan Schoukens
Cox’s Proportional Hazards Model under Covariate Measurement Error: Thomas Augustin and Regina Schwarz
State-Space Estimation with Uncertain Models: Ali H. Sayed and Ananth Subramanian
Models for Robust Estimation and Identification: Shivkumar Chandrasekaran and Keith Schubert
Robust Solutions to Linear Approximation Problems under Ellipsoidal Uncertainty: G. Alistair Watson
QR Factorization of the Jacobian in Some Structured Nonlinear Least Squares Problems: Åke Björck
Neural Minor Component Analysis and TLS: Giansalvo Cirrincione and Maurizio Cirrincione
On the Structural Line Segment Model: Ori Davidov, Alexander Goldenshluger and Roman Reidman
Model Fitting for Multiple Variables by Minimising the Geometric Mean Deviation: Chris Tofallis
Perspectives on Errors-In-Variables Estimation for Dynamic Systems: Torsten Söderström, Umberto Soverini and Kaushik Mahata
Errors-In-Variables Filtering in Behavioural and State-Space Contexts: Roberto Guidorzi, Roberto Diversi and Umberto Soverini
Weighted Total Least Squares, Rank Deficiency and Linear Matrix Structures: Bart De Moor
Frequency-Domain TLS and GTLS Algorithms for Modal Analysis Applications: Peter Verboven, Patrick Guillaume and Eli Parloo
A New Decimative Spectral Estimation Method with Unconstrained Model Order and Decimation Factor: Stavroula-Evita Fotinea, Ioannis Dologlou and George Carayannis
Modeling Audio with Damped Sinusoids Using Total Least Squares Algorithms: Werner Verhelst, K. Hermus, P. Lemmerling, P. Wambacq and S. Van Huffel
Real-Time TLS Algorithms in Gaussian and Impulse Noise Environments: Da-Zheng Feng, Zheng Bao and Xian-Da Zhang
Efficient Computation of the Riemannian SVD in Total Least Squares Problems in Information Retrieval: Ricardo D. Fierro and Michael W. Berry
Constrained Total Least Squares for Color Image Reconstruction: Michael K. Ng, Nirmal K. Bose and Jaehoon Koo
Total Least Squares in Astronomy: Richard L. Branham
TLS and Constrained TLS Neural Networks for Computer Vision: Giansalvo Cirrincione

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DOI: 10.1007/978-94-017-3552-0

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