81 citations · 136 across the 13 of their papers we have counts for
3 papers · 1 filter
Inference of signals with unknown correlation structure from nonlinear measurements
Jakob Knollmüller, Theo Steininger, Torsten A. Enßlin
We present a method to reconstruct autocorrelated signals together with their autocorrelation structure from nonlinear, noisy measurements for arbitrary monotonous nonlinear instru…
NIFTy 3 - Numerical Information Field Theory - A Python framework for multicomponent signal inference on HPC clusters
Theo Steininger, Jait Dixit, Philipp Frank +10
NIFTy, "Numerical Information Field Theory", is a software framework designed to ease the development and implementation of field inference algorithms. Field equations are formulat…
Noisy independent component analysis of auto-correlated components
Jakob Knollmüller, Torsten A. Enßlin
We present a new method for the separation of superimposed, independent, auto-correlated components from noisy multi-channel measurement. The presented method simultaneously recons…