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A new approach for a speech signal parametric spectral characterization, based on a new factorization method, is proposed in this paper. The theoretical basis of the factorization method for multimode speech signals spectra is presented in the paper. This method is based on the multiplicative polymodels developed by the authors. We also derived equations for autoregressive coefficients calculation...
The linear prediction models can be useful in different tasks of statistical radio engineering. The examples of multimode spectra decomposition on separate components for speech signals, heart rhythmograms, reflected ultrasound signals and hydroacoustic signals have been shown in the paper. The calculation of autoregressive coefficients and parametric power spectrum density of the multiplicative models...
New linear prediction polymodels is described in the article. The structure of the universal linear prediction model is shown. We propose new additive linear prediction model AR1(2)+AR2(2). We also obtain spectral characteristics of additive processes and a system of equations for calculation of the additive model's parameters. Comparative analysis of resolution capability is made using four methods...
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