Abstract
The accuracy and noise immunity of the identification method for nonlinear dynamical systems based on the Volterra model in the frequency and time domain is studied. The polyharmonic signals are used as the test ones during identification procedure. The algorithmic and software Matlab toolkit were developed and used for identification process. This toolkit was used to construct the informational model of test system and UHF communication channel. The models are built as a first, second and third order amplitude-frequency and phase-frequency characteristics. The comparison of obtained characteristics with previous works is given. The noise reduction of received characteristics using wavelet denoising were applied and studied.
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