Title :
Identification of MISO nonlinear regressions in the presence of a wide class of disturbances
Author :
Rutkowski, Leszek
fDate :
1/1/1991 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
