Geodesic
LMS-Newton adaptive filtering using FFT-based conjugate gradient iterations
Electronic transactions on numerical analysis, Tome 4 (1996), pp. 14-36
In this paper, we propose a new fast Fourier transform (FFT) based LMS-Newton (LMSN) adaptive filter algorithm. At each adaptive time step t, the nth-order filter coefficients are updated by using the inverse of an n-by-n Hermitian, positive definite, Toeplitz operator T (t).
Classification : 65F10
Keywords: LMS-Newton adaptive filter algorithm, finite impulse response filter, Toeplitz matrix, circulant matrix, preconditioned conjugate gradient method, fast Fourier transform 
@article{ETNA_1996__4__a9,
     author = {Ng,  Michael K. and Plemmons,  Robert J.},
     title = {LMS-Newton adaptive filtering using {FFT-based} conjugate gradient iterations},
     journal = {Electronic transactions on numerical analysis},
     pages = {14--36},
     year = {1996},
     volume = {4},
     zbl = {0864.65041},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ETNA_1996__4__a9/}
}
TY  - JOUR
AU  - Ng,  Michael K.
AU  - Plemmons,  Robert J.
TI  - LMS-Newton adaptive filtering using FFT-based conjugate gradient iterations
JO  - Electronic transactions on numerical analysis
PY  - 1996
SP  - 14
EP  - 36
VL  - 4
UR  - http://geodesic.mathdoc.fr/item/ETNA_1996__4__a9/
LA  - en
ID  - ETNA_1996__4__a9
ER  - 
%0 Journal Article
%A Ng,  Michael K.
%A Plemmons,  Robert J.
%T LMS-Newton adaptive filtering using FFT-based conjugate gradient iterations
%J Electronic transactions on numerical analysis
%D 1996
%P 14-36
%V 4
%U http://geodesic.mathdoc.fr/item/ETNA_1996__4__a9/
%G en
%F ETNA_1996__4__a9
Ng,  Michael K.; Plemmons,  Robert J. LMS-Newton adaptive filtering using FFT-based conjugate gradient iterations. Electronic transactions on numerical analysis, Tome 4 (1996), pp. 14-36. http://geodesic.mathdoc.fr/item/ETNA_1996__4__a9/