A recursive weighted minimum norm algorithm: Analysis and applications
- 1 January 1993
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 456-459 vol.3
- https://doi.org/10.1109/icassp.1993.319533
Abstract
Reliable estimation of a highly localized signal from insufficient data is a difficult problem common to many fields. The authors present an iterative weighted norm minimization method that utilizes a posteriori constraints for the estimation of such signals. Analysis is performed to determine the convergence properties and characterize the solutions of the algorithm. The advantages and applications of the approach and the new algorithm are demonstrated using electromagnetic imaging and direction-of-arrival (DOA) estimation problems.Keywords
This publication has 7 references indexed in Scilit:
- Improvement of discrete band-limited signal extrapolation by iterative subspace modificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Source localization in magnetoencephalography using an iterative weighted minimum norm algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A new iterative weighted norm minimization algorithm and its applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Extrapolation and spectral estimation with iterative weighted norm modificationIEEE Transactions on Signal Processing, 1991
- Continuous probabilistic solutions to the biomagnetic inverse problemInverse Problems, 1990
- Introduction to Applied Nonlinear Dynamical Systems and ChaosPublished by Springer Nature ,1990
- Energy concentration in band-limited extrapolationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989