One-dimensional Deep Image Prior for Time Series Inverse Problems

18 Apr 2019Sriram RavulaAlexandros G. Dimakis

We extend the Deep Image Prior (DIP) framework to one-dimensional signals. DIP is using a randomly initialized convolutional neural network (CNN) to solve linear inverse problems by optimizing over weights to fit the observed measurements... (read more)

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