The equivalence of the total least squares and minimum norm methods (signal processing)

The equivalence of the total least squares and minimum norm methods (signal processing)

It is shown that the minimum norm solution is equivalent to the total least squares solution. It is noted that two versions of the total least squares solution exist, one based on the signal subspace and another based on the noise subspace.< >

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on signal processing 1991-08, Vol.39 (8), p.1891-1892
Hauptverfasser: Dowling, E.M., DeGroat, R.D.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Helium
Instruments
Least squares methods
Matrix decomposition
Signal processing
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:It is shown that the minimum norm solution is equivalent to the total least squares solution. It is noted that two versions of the total least squares solution exist, one based on the signal subspace and another based on the noise subspace.< >
ISSN:1053-587X
1941-0476
DOI:10.1109/78.91160