CPC H04L 25/03165 (2013.01) [G06N 3/04 (2013.01); G06N 3/08 (2013.01); H03F 1/32 (2013.01); H03F 3/20 (2013.01); H04B 1/16 (2013.01); H03F 2200/451 (2013.01)] | 21 Claims |
1. A distortion-compensating processor, comprising:
at least one automated processor configured to decompose a non-linearly distorted signal derived from an information signal, received from a channel having a channel non-linear distortion into a truncated series expansion of at least third order with memory comprising a series of terms, each term representing incremental non-linearity order and associated delay;
an adaptive multi-layer feedforward deep neural network comprising a plurality of hidden layers, and at least one dropout layer, receiving as inputs the series of terms, and producing an equalized output signal; and
an output port configured to present the equalized output signal,
the multi-layer feedforward deep neural network being trained with respect to the channel non-linear distortion associated with communication of a series of symbols using training data comprising the series of terms, to equalize the signal,
the multi-layer feedforward deep neural network being configured to receive the respective terms associated with incremental non-linearity orders and associated delay values, and to selectively produce the equalized output signal, representing the information signal wherein the channel non-linear distortion is reduced.
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