Blind source separation for convolutive mixtures
Signal Processing
Identification of multichannel linear non-Gaussian processes using higher-order statistics
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Blind cancellation of intersymbol interference in decision feedback equalizers
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Blind identification of FIR channels carrying multiple finite alphabet signals
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Signal separation by symmetric adaptive decorrelation: stability,convergence, and uniqueness
IEEE Transactions on Signal Processing
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This paper proposes techniques for simultaneous cancellation of intersymbol and interchannel or multi-access interference (ISI and ICI) thatshows up in several multi-input, multi-output (MIMO) communication channels.Correlation and kurtosis based optimization criteria are derived formulti-channel decision feedback equalizers (MC-DFE) and compared with thepopular Godard algorithm (CMA) and the minimum mean-square error in adecision directed mode (MMSE-DD). The proposed adaptive algorithms areeasily extended to a scenario with more than two users with thecomputational complexity increasing linearly with the number of inputs.Simulation results show that the algorithms converge to the global minimumin a blind environment with channels that introduce moderate distortion.