Adaptive equalizer of
disturbances based on random processes models
A.
E. Manokhin, Yu. A. Nifontov
Institute
of radio-electronics and information technologies, Ural Federal University,
Ekaterinburg
Received December 28, 2010, after correction - February 27, 2011
Abstract. Adaptive equalizer of
disturbances, based on the models of signals and disturbances, which are stationary
random processes, is described in this paper. This equalizer can operate under
conditions of weak mutual correlation or the lack of correlation of disturbances
on its both inputs.
Keywords: modeling equalizer of disturbances
forming white noise, optimal filter.