Abstract: Wavelet neural network (WNN), which learns an unknown nonlinear mapping from the data, has been widely used in signal processing, and time-series analysis. However, challenges in ...
Abstract: Existing wavelet pooling methods discard the high-frequency sub-bands, which can improve the noise-robustness of convolutional neural networks (CNNs) but lose the essential detailed features ...
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