Highly Influenced

@article{Goh2007StochasticGC, title={Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size}, author={Su Lee Goh and Danilo P. Mandic}, journal={IEEE Transactions on Neural Networks}, year={2007}, volume={18}, pages={1511-1516} }

- Published 2007 in IEEE Transactions on Neural Networks
DOI:10.1109/TNN.2007.895828

A class of variable step-size learning algorithms for complex-valued nonlinear adaptive finite impulse response (FIR) filters is proposed. To achieve this, first a general complex-valued nonlinear gradient-descent (CNGD) algorithm with a fully complex nonlinear activation function is derived. To improve the convergence and robustness of CNGD, we further introduce a gradient-adaptive step size to give a class of variable step-size CNGD (VSCNGD) algorithms. The analysis and simulations show theâ€¦Â CONTINUE READING