Advanced RNN Based NARMA Predictors
Journal of VLSI Signal Processing Systems
Nonlinear and Noisy Time Series Prediction Using a Hybrid Nonlinear Neural Predictor
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks
Neural Computation
Data compression of nonlinear time series using a hybrid linear/nonlinear predictor
Signal Processing - Signal processing in UWB communications
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain
Journal of VLSI Signal Processing Systems
A homomorphic neural network for modeling and prediction
Neural Computation
Financial time series prediction using polynomial pipelined neural networks
Expert Systems with Applications: An International Journal
New Radial Basis Function Neural Network Training for Nonlinear and Nonstationary Signals
Computational Intelligence and Security
Brief paper: A pipelined recurrent fuzzy model for real-time analysis of lung sounds
Engineering Applications of Artificial Intelligence
Narrowband interference rejection in GPS receiver using adaptive lattice predictor
WSEAS TRANSACTIONS on SYSTEMS
Physical time series prediction using Recurrent Pi-Sigma Neural Networks
International Journal of Artificial Intelligence and Soft Computing
Nonlinear Bayesian Filters for Training Recurrent Neural Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
A novel adaptive nonlinear filter-based pipelined feed-forward second-order Volterra architecture
IEEE Transactions on Signal Processing
The quaternion LMS algorithm for adaptive filtering of hypercomplex processes
IEEE Transactions on Signal Processing
A novel adaptive bilinear filter based on pipelined architecture
Digital Signal Processing
Adaptive neuro-fuzzy interference cancellation for ubiquitous wearable ECG sensor node
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Split quaternion nonlinear adaptive filtering
Neural Networks
Exploiting nonlinearity in adaptive signal processing
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Speech prediction using higher order neural networks
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Transactions on Communications
Information Sciences: an International Journal
Polynomial pipelined neural network and its application to financial time series prediction
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Pipelined robust M-estimate adaptive second-order Volterra filter against impulsive noise
Digital Signal Processing
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We describe a computationally efficient scheme for the nonlinear adaptive prediction of nonstationary signals whose generation is governed by a nonlinear dynamical mechanism. The complete predictor consists of two subsections. One performs a nonlinear mapping from the input space to an intermediate space with the aim of linearizing the input signal, and the other performs a linear mapping from the new space to the output space. The nonlinear subsection consists of a pipelined recurrent neural network (PRNN), and the linear section consists of a conventional tapped-delay-line (TDL) filter. The nonlinear adaptive predictor described is of general application. The dynamic behavior of the predictor is demonstrated for the case of a speech signal; for this application, it is shown that the nonlinear adaptive predictor outperforms the traditional linear adaptive scheme in a significant way