DocumentCode
1410286
Title
Identification of MISO nonlinear regressions in the presence of a wide class of disturbances
Author
Rutkowski, Leszek
Volume
37
Issue
1
fYear
1991
fDate
1/1/1991 12:00:00 AM
Firstpage
214
Lastpage
216
Abstract
A nonparametric algorithm, based on multiple Fourier series, for identification of MISO (multidimensional-input-single-output) systems is investigated. It is shown that the algorithm converges for a wide class of noise
Keywords
convergence; identification; MISO systems; convergence; identification; multidimensional-input-single-output; multiple Fourier series; noise; nonlinear regressions; nonparametric algorithm; wide class of disturbances; Arctic; Biomedical signal processing; Fourier series; Multidimensional signal processing; Multidimensional systems; Performance analysis; Radar detection; Radar signal processing; Signal processing algorithms; Speech processing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.61144
Filename
61144
Link To Document