Abstract: This letter addresses the challenge of input noise in nonlinear system identification using kernel adaptive filtering (KAF) techniques. Conventional kernel least-mean-square (KLMS) ...
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Abstract: Least Mean Square (LMS) and Gradient Descent (GD) algorithms are widely used in applications such as noise cancellation, echo cancellation, adaptive equalization, and neural network training ...
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