Data-driven modeling of noise time series with convolutional generative adversarial networks
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Random noise arising from physical processes is an inherent characteristic of measurements and a limiting factor for most signal processing and data analysis tasks. Given the recent interest in generative adversarial networks (GANs) for data-driven modeling, i... ...
