DocumentCode
1561669
Title
Using auxiliary signal to remove the SPR condition from recursive adaptive algorithms
Author
Tang, Ke ; Feng, C.
Author_Institution
Dept. of Radio & Electron., Tsinghua Univ., Beijing
fYear
1989
Firstpage
1051
Abstract
The use of adaptive recursive filters and output error identification techniques has been severely restricted by the need to satisfy the so-called SPR (strictly positive real) condition. A method to remove the SPR condition by using an auxiliary signal is demonstrated. It is based on the HARF (hyperstable adaptive recursive filter). By choosing a proper auxiliary sequence, the adaptive algorithm can asymptotically converge for any possible input sequence. The proposed method exhibits low computational complexity, fast convergence, and good rejection of disturbances
Keywords
adaptive filters; signal processing; auxiliary sequence; auxiliary signal; computational complexity; disturbances rejection; fast convergence; hyperstable adaptive recursive filter; input sequence; output error identification; recursive adaptive algorithms; strictly positive real condition; Adaptive algorithm; Adaptive filters; Context modeling; Delay; Filtering algorithms; Information filtering; Information filters; Stability; System identification; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location
Glasgow
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1989.266612
Filename
266612
Link To Document