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- W2148766319 abstract "We consider the problem of blind equalization of digital communication channels using fractionally spaced samples. Fractionally sampled data are cyclo-stationary rather than stationary. The problem is cast into a mathematical framework of a vector stationary process with single input (information sequence) and multiple outputs, by using a time-series representation of a cyclostationary process. This leads to number of subchannels equal to number of samples per symbol. Each subchannel is first equalized independently using a baud-rate CMA/Godard (1980) blind equalizer. Several approaches are presented for selection and fusion of the equalized outputs of the various subchannels in order to achieve a performance that is much less sensitive to the symbol-timing-phase errors when compared with a band-rate equalizer. An illustrative simulation example 16-QAM (V22 source) signal is presented where effect of symbol-timing-phase offset is studied via computer simulations. >" @default.
- W2148766319 created "2016-06-24" @default.
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- W2148766319 date "2002-12-17" @default.
- W2148766319 modified "2023-09-26" @default.
- W2148766319 title "A parallel multimodel: CMA/Godard adaptive filter bank approach to fractionally-spaced blind adaptive equalization" @default.
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- W2148766319 doi "https://doi.org/10.1109/icc.1994.368844" @default.
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