DATA RECONSTRUCTION USING MACHINE-LEARNING PREDICTIVE CODING

Abstract

A method includes generating a first reconstructed data sample corresponding to a reconstructed version of a first data sample in a time series of data samples. The method includes generating a second reconstructed data sample corresponding to a reconstructed version of a second data sample in the time series of data samples. The method includes providing the first reconstructed data and the second reconstructed data sample as inputs to a neural network. The neural network is configured to use machine-learning predictive coding to generate a network-predicted data sample. The network-predicted data sample corresponds to a predicted version of a particular data sample in the time series of data samples that is positioned between the first data sample and the second data sample.

CPC Classifications