IQML-like algorithms for solving structured total least squares problems: A unified view

Signal Processing

Volumn 81, Issue 9, 2001, Pages 1935-1945

  Lemmerling, Philippe ^a   Vanhamme, Leentje ^a   Huffel, Sabine Van ^a   Moor, Bart De ^a  

^a Katholieke Universiteit Leuven   (Belgium)

Author keywords

IQML; Parameter estimation; Structured total least squares

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION;

STRUCTURED TOTAL LEAST SQUARES;

DIGITAL SIGNAL PROCESSING;

EID: 0035452301     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00093-7     Document Type: Article

References (13)

1. Constrained total least squares
2. The constrained total least squares technique and its applications to harmonic superresolution
3. Exact maximum likelihood parameter estimation of superimposed exponential signals in noise
4. 2 approximation problems
5. Total least squares for affinely structured matrices and the noisy realization problem
6. On the equivalence of constrained total least squares and structured total least squares
7. Total least norm formulation and solution for structured problems
8. Formulation and solution of structured total least norm problems for parameter estimation
9. Improved method for accurate and efficient quantification of mrs data with use of prior knowledge
10. Spectral parameter estimation by an iterative quadratic maximum likelihood method