2026-10-15T09:38:30Z https://data.mendeley.com/oai

oai:data.mendeley.com/gp5hht8gys.1 2025-11-11T21:37:35Z

Zhou, Mengyao OTFS AWCNNdataset Mendeley Data The dataset approach replaces the first convolutional layer of a standard CNN with an adaptive wavelet layer, which leverages the time-frequency localization properties of Sym4 wavelet kernels along with learnable scaling and translation factors. This enhances the network's ability to extract sparse features from OTFS signals. Additionally, the model incorporates both the original received signal and preliminary estimates from the Message Passing (MP) algorithm as input features, enriching the dataset and further improving detection performance. Computer Communications Dataset doi:10.17632/gp5hht8gys.1 oai:data.mendeley.com/gp5hht8gys.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/gp5hht8gys 2025-11-11T21:37:35Z