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- W2031403336 abstract "In this paper, learning algorithms are used to decode QPSK data in a direct-conversion hardware (QPSK-unimode) microwave/millimeter-wave receiver using an application-specific six-port module. Two different algorithms, the K-means and Bayesian network, are considered for operation of the decoder to recover IQ data from QPSK modulated signals. Bit-error-rate (BER) results versus noise level (Eb/N0) are presented after a brief data-collecting period involving fewer than 500 data points. Results of the Bayesian network for Eb/N0=−3 dB and Eb/N0=−9 dB are presented, using the same data-gathering period. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 30: 33–38, 2001." @default.
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- W2031403336 date "2001-01-01" @default.
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- W2031403336 title "A Bayesian network (BN) decoder for direct-conversion microwave and millimeter-wave six-port receivers (SPRs)" @default.
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- W2031403336 doi "https://doi.org/10.1002/mop.1212" @default.
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