ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)

vol 64 / January, 2021

DOI 10.17586/0021-3454-2017-60-9-812-817

UDC 681.5.015


A. A. Vedyakov
ITMO University, Saint Petersburg, 197101, Russian Federation; Associate Professor

A. A. Bobtsov
ITMO University, Saint Petersburg, 197101, Russian Federation; Dean, Head of Chair

A. A. Pyrkin
ITMO University, Saint Petersburg, 197101, Russian Federation; Professor, Dean

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Abstract. A method is proposed for a sinusoidal signal parameters estimation, when the time-varying amplitude of the signal is the product of a known function and unknown coefficient. A new parametrization approach is applied to obtaine linear regression model. The estimation algorithm for the model and initial signal parameters is synthesyzed on the base of standart gradient method. The parameters estimation errors are shown to converge exponentialy to zero.
Keywords: identification, signal processing, frequency estimation, non-stationary signals

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