Adaptive signal processing
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Improved training of neural networks for the nonlinear active control of sound and vibration
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Active control of vibration using a neural network
IEEE Transactions on Neural Networks
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This paper introduces new recursive least-squares algorithms with faster convergence and improved steady-state performance for the training of multilayer feedforward neural networks, used in a two neural networks structure for multichannel non-linear active sound cancellation. Non-linearity in active sound cancellation systems is mostly found in actuators. The paper introduces the main concepts required for the development of the algorithms, discusses why it is expected that they will outperform previously published steepest descent and recursive least-squares algorithms, and shows the improved convergence produced by the new algorithms with simulations of non-linear active sound cancellation.