Adaptive minimum error-rate filtering design: A review
Signal Processing
Non-linear channel equalization using adaptive MPNN
Applied Soft Computing
Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel
Applied Soft Computing
Equalization with decision delay estimation using recurrent neural networks
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
Adaptive minimum bit error rate beamforming assisted receiver for QPSK wireless communication
Digital Signal Processing
Conditional fuzzy clustering for blind channel equalization
Applied Soft Computing
Grey-box radial basis function modelling
Neurocomputing
Information Sciences: an International Journal
An adaptive decision feedback equalizer based on the combination of the FIR and FLNN
Digital Signal Processing
Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing
Mathematical and Computer Modelling: An International Journal
Enhanced roughness index for breast cancer benign/malignant measurement using Gaussian mixture model
Proceedings of the 2013 Research in Adaptive and Convergent Systems
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The application of a radial basis function network to digital communications channel equalization is examined. It is shown that the radial basis function network has an identical structure to the optimal Bayesian symbol-decision equalizer solution and, therefore, can be employed to implement the Bayesian equalizer. The training of a radial basis function network to realize the Bayesian equalization solution can be achieved efficiently using a simple and robust supervised clustering algorithm. During data transmission a decision-directed version of the clustering algorithm enables the radial basis function network to track a slowly time-varying environment. Moreover, the clustering scheme provides an automatic compensation for nonlinear channel and equipment distortion. Computer simulations are included to illustrate the analytical results