Multilayer feedforward networks are universal approximators
Neural Networks
Universal approximation using radial-basis-function networks
Neural Computation
Neural networks for signal processing
Neural networks for signal processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Backpropagation: theory, architectures, and applications
Backpropagation: theory, architectures, and applications
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Blind adaptive beamforming for cyclostationary signals
IEEE Transactions on Signal Processing
Dynamic fuzzy neural networks-a novel approach to functionapproximation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
Hybrid control using recurrent fuzzy neural network for linear induction motor servo drive
IEEE Transactions on Fuzzy Systems
Dynamic structure neural networks for stable adaptive control of nonlinear systems
IEEE Transactions on Neural Networks
Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series
IEEE Transactions on Neural Networks
Bibliography on cyclostationarity
Signal Processing
A neural network for robust LCMP beamforming
Signal Processing - Fractional calculus applications in signals and systems
Development of an adaptive line enhancer using nonlinear neural networks
EHAC'12/ISPRA/NANOTECHNOLOGY'12 Proceedings of the 11th WSEAS international conference on Electronics, Hardware, Wireless and Optical Communications, and proceedings of the 11th WSEAS international conference on Signal Processing, Robotics and Automation, and proceedings of the 4th WSEAS international conference on Nanotechnology
Advances in Artificial Neural Systems
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The neural method is a powerful nonlinear adaptive approach in various signal-processing scenarios. It is especially suitable for real-time application and hardware implementation. In this paper, we review its application in antenna array signal processing. This paper also serves as a tutorial to the neural method for antenna array signal processing.