A parameter estimation method for model analysis
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Publication:854450
DOI10.1007/BF02896486zbMath1109.65036MaRDI QIDQ854450
Sunjoo Kwon, Jae Heon Yun, Se-Young Oh
Publication date: 4 December 2006
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
algorithmnumerical examplessignal processingpseudoinversesOverdetermined systemsstructured nonlinear total least norm (SNTLN) method
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Cites Work
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- A method for structured linear total least norm on blind deconvolution problem
- Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems
- Separable Nonlinear Least Squares with Multiple Right-Hand Sides
- Structured Total Least Norm for Nonlinear Problems
- Regularization by Truncated Total Least Squares
- Blind Deconvolution Using a Regularized Structured Total Least Norm Algorithm
- Tikhonov Regularization and Total Least Squares
- Total Least Norm Formulation and Solution for Structured Problems
- The Differentiation of Pseudo-Inverses and Nonlinear Least Squares Problems Whose Variables Separate
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