A simplified convolutional neural network is inserted as a function node in the sum-product algorithm factor graph for FTN signaling to model residual ISI, with modified message updates enabling turbo equalization and up to 2.5 dB BER gain.
Adaptive maximum-likelihood receiver for carrier- modulated data-transmission systems,
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Deep Learning Assisted Sum-Product Detection Algorithm for Faster-than-Nyquist Signaling
A simplified convolutional neural network is inserted as a function node in the sum-product algorithm factor graph for FTN signaling to model residual ISI, with modified message updates enabling turbo equalization and up to 2.5 dB BER gain.