Channel Equalization and Blind Deconvolution (Vaseghi - Advanced Digital Signal Processing and Noise Reduction), страница 8
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Blind equalization is feasible only if some statistics ofthe channel input signal are available. In Section 15.2, we considered blindequalization using the power spectrum of the input signal. This method wasintroduced by Stockham for restoration of the magnitude spectrum ofdistorted acoustic recordings. In Section 15.3, we considered a blinddeconvolution method based on the factorisation of a linear predictivemodel of the convolved signals.Bayesian inference provides a framework for inclusion of the statisticsof the channel input and perhaps also those of the channel environment.
InSection 15.4, we considered Bayesian equalization methods, and studied thecase where the channel input is modelled by a set of hidden Markov models.Section 15.5 introduced channel equalization methods for removal ofintersymbol interference in digital telecommunication systems, and finallyin Section 15.6, we considered the use of higher-order spectra forequalization of non-minimum-phase channels.Bibliography465BibliographyBENVENISTE A., GOURSAT M.
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