Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel
Applied Soft Computing
Conditional fuzzy clustering for blind channel equalization
Applied Soft Computing
A new modified particle swarm optimization algorithm for adaptive equalization
Digital Signal Processing
Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing
Mathematical and Computer Modelling: An International Journal
Pipelined robust M-estimate adaptive second-order Volterra filter against impulsive noise
Digital Signal Processing
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Two related cancellation techniques based on "tentative" decisions are proposed for removing intersymbol interference, due to channel nonlinearities, for voiceband data transmission. Cancellation of intersymbol interference avoids the need for equalizing or "inverting" analog nonlinear operations as in the decision-feedback method previously proposed by Falconer. The nonlinear cancellation approach removes nonlinear interference terms without excessive noise enhancement and allows effective implementation with ROM's to generate the needed nonlinear signal variables that are to be weighted and summed. The first technique can be incorporated as an "add-on" unit to a present-day modem; the second technique requires a different receiver architecture but offers somewhat enhanced improvement. Simulation results for 9.6 kbit/s data transmission over nonlinear channel models show that both techniques can offer substantial performance improvements for 16-point QAM systems.