Adaptive least squares algorithms for two dimensional system identification and filtering: a unified approach

• Autorzy: Glentis G.-O. , Georgoulakis K.
• Języki publikacji: EN

Abstrakty

EN

In this paper, a unified approach is presented for adaptive Least Squares Two-Dimensional system identification and linear filtering. First, a unified deterministic Least Squares criterion is introduced, and subsequently utilized for the derivation of a general algorithmic framework for the adaptive Two-Dimensional system identification and filtering. Overdetermined, as well as underdetermined Least Squares Two-Dimensional adaptive algorithms are derived, from the proposed general adaptive scheme. In this way, known Two-Dimensional adaptive algorithms are interpreted as special cases of a general algorithmic form. Moreover, new adaptive algorithms are derived, following the proposed methodology.

Słowa kluczowe

EN

least squares algorithm; two-dimensional system; identification; filtering

PL

metoda najmniejszych kwadratów; system dwuwymiarowy

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2003
• Tom: Vol. 28, No. 2
• Strony: 95--112
• Opis fizyczny: Bibliogr. 30 poz.

Twórcy

autor

Glentis G.-O.

autor

Georgoulakis K.

• Technological Education Institute of Crete, Branch at Chania, Department of Electronics, 3, Romanou Str., Chalepa, 73133 Chania, Crete, Greece