DocumentCode
2647591
Title
A quadratic adaptive recursive filter
Author
Canales, Timothy J. ; Etter, Delores M.
Author_Institution
Gultron Data Syst., Albuquerque, NM, USA
fYear
1990
fDate
1-3 May 1990
Firstpage
1339
Abstract
An adaptive recursive filter is developed which exhibits quadratic performance properties. The development is based upon the concept of base operators which form a basis for the construction of the new recursive filter operator. A stochastic gradient algorithm is proposed and demonstrated. The filter is stable under adaptation and reliably converges, because the performance function is unimodal. The simplicity of the nonrecursive LMS (least-mean-square) algorithm is preserved
Keywords
adaptive filters; convergence; filtering and prediction theory; stochastic processes; base operators; quadratic adaptive recursive filter; quadratic performance properties; stochastic gradient algorithm; Adaptive algorithm; Adaptive filters; Data systems; Filtering algorithms; Irrigation; Least squares approximation; Marine vehicles; Nonlinear filters; Stability; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/ISCAS.1990.112378
Filename
112378
Link To Document