Approximation by fully complex multilayer perceptrons
Neural Computation
Equalization of 8PSK Signals with a Recurrent Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Short-Term Load Forecasting Using BiLinear Recurrent Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Prediction of MPEG video source traffic using bilinear recurrent neural networks
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Short-term load forecasting using multiscale bilinear recurrent neural network
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Multiscale bilinear recurrent neural network for prediction of MPEG video traffic
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Multiresolution-based bilinear recurrent neural network
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Equalization of 16 QAM signals with reduced bilinear recurrent neural network
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Channel equalization using neural networks: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Equalisation of a wireless ATM channel using a pruned recurrent neural network
International Journal of Systems, Control and Communications
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Multiscale bilinear recurrent neural network with an adaptive learning algorithm
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Equalization of a wireless ATM channel with simplified complex bilinear recurrent neural network
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Information Sciences: an International Journal
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Equalization of satellite communication using complex-bilinear recurrent neural network (C-BLRNN) is proposed. Since the BLRNN is based on the bilinear polynomial, it can be used in modeling highly nonlinear systems with time-series characteristics more effectively than multilayer perceptron type neural networks (MLPNN). The BLRNN is first expanded to its complex value version (C-BLRNN) for dealing with the complex input values in the paper. C-BLRNN is then applied to equalization of a digital satellite communication channel for M-PSK and QAM, which has severe nonlinearity with memory due to traveling wave tube amplifier (TWTA). The proposed C-BLRNN equalizer for a channel model is compared with the currently used Volterra filter equalizer or decision feedback equalizer (DFE), and conventional complex-MLPNN equalizer. The results show that the proposed C-BLRNN equalizer gives very favorable results in both the MSE and BER criteria over Volterra filter equalizer, DFE, and complex-MLPNN equalizer