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• W2980388204 abstract "In this study, the authors consider the identification of auto-regressive (AR) models for time-series from one-bit quantised observation sequences. The only available information is the fact that the samples of the time-series are lower or higher than a threshold of quantisation. This threshold may be different from zero. An identification algorithm is presented and analysed. A recursive formulation is proposed, an extension for the identification of a non-linear time-series is also proposed." @default.
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• W2980388204 date "2020-02-01" @default.
• W2980388204 modified "2023-10-15" @default.
• W2980388204 title "Identification of AR time‐series based on binary data" @default.
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• W2980388204 doi "https://doi.org/10.1049/iet-spr.2019.0152" @default.
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