Title :
A new nonlinear adaptive lattice filter
Author :
Ahmed, Hassan M. ; Khurram, Muzaffar U.
Author_Institution :
Nonlinear Modelling Lab., Boston Univ., MA, USA
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150813
