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- W2158314752 abstract "Time series with systematic misses and signals passing through rapidly fading channels can be modeled as cyclostationary output sequences of linear periodically time-varying (LPTV) systems. Blind identification of finite parameter LPTV systems can be accomplished using cyclic second- and higher-order statistics of the cyclostationary output, even if the latter is corrupted by stationary noise of unknown spectral characteristics. Novel closed-form solutions for the modulating sequence which models periodic misses and the TV moving average parameters of periodic channels are developed. Using the estimated LPTV channel, the Viterbi algorithm, or a computationally efficient LPTV mean-squared error equalizer can be adopted to recover the information bearing input. >" @default.
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- W2158314752 date "2003-01-02" @default.
- W2158314752 modified "2023-09-27" @default.
- W2158314752 title "On blind channel estimation with periodic misses and equalization of periodically varying channels" @default.
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- W2158314752 doi "https://doi.org/10.1109/acssc.1992.269215" @default.
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