Data-Driven Modeling of Noise Time Series with Convolutional Generative Adversarial Networks

Adam Wunderlich, Jack Sklar

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 recen…