Blind identification and deconvolution of linear systems driven by binary random sequences

DOI10.1109/18.108246zbMath0745.93080OpenAlexW2135694401MaRDI QIDQ3991382

Ta-Hsin Li

Publication date: 28 June 1992

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.108246

zbMATH Keywords

parameter estimationnumerical examplesdeconvolutionblind identification

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

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ESTIMATION AND BLIND DECONVOLUTION OF AUTOREGRESSIVE SYSTEMS WITH NONSTATIONARY BINARY INPUTS ⋮ \(\Delta \)-entropy: definition, properties and applications in system identification with quantized data

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