DocumentCode
1995484
Title
A new nonlinear adaptive lattice filter
Author
Ahmed, Hassan M. ; Khurram, Muzaffar U.
Author_Institution
Nonlinear Modelling Lab., Boston Univ., MA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2073
Abstract
Lattice filters for prediction of polynomial autoregressive processes are presented. By exploiting the structure of the nonlinearity, a reduced complexity lattice filter is derived. Bispectral tests show that the filter is effective in removing nonlinear dependence
Keywords
adaptive filters; filtering and prediction theory; bispectral tests; nonlinear adaptive lattice filter; nonlinear dependence removal; polynomial autoregressive processes; process prediction; reduced complexity lattice filter; Adaptive filters; Chaos; Chemical analysis; Filtering; Image analysis; Lattices; Neural networks; Nonlinear filters; Nonlinear systems; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150813
Filename
150813
Link To Document