UDC 534.78, 621.391.266
1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 zvk140@ukr.net
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3 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, and Kyiv Academic University, Kyiv, Ukraine
semenovaevgen@gmail.com
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METHOD OF NOISE-ROBUST ESTIMATION OF PARAMETERS
OF AUTOREGRESSIVE MODEL IN FREQUENCY DOMAIN
Abstract. The article considers the problem of estimating the parameters of the autoregressive (AR) signal in the presence of background noise.
Based on the frequency representation of the AR signal, a technique of calculating the likelihood function
of the AR parameters is shown and the implementation of the expectation-maximization method
for iterative evaluation of the AR parameters is considered. Analysis of different measures of distortion
of speech signals shows that the proposed approaches in the frequency domain have the same accuracy
with the corresponding approaches in the time domain, but are characterized by significantly lower computing costs.
Keywords: autoregressive model, likelihood function, Expectation-Maximization method, fast Fourier transform.
FULL TEXT
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