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- W3124567214 abstract "We present a new method for the separation of superimposed, independent, auto-correlated com- ponents from noisy multi-channel measurement. The presented method simultaneously reconstructs and separates the components, taking all channels into account and thereby increases the effective signal-to-noise ratio considerably, allowing separations even in the high noise regime. Characteristics of the measurement instruments can be included, allowing for application in complex measurement situations. Independent posterior samples can be provided, permitting error estimates on all de- sired quantities. Using the concept of information field theory, the algorithm is not restricted to any dimensionality of the underlying space or discretization scheme thereof." @default.
- W3124567214 created "2021-02-01" @default.
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- W3124567214 date "2017-05-01" @default.
- W3124567214 modified "2023-09-27" @default.
- W3124567214 title "Noisy independent component analysis of auto-correlated components" @default.
- W3124567214 hasPublicationYear "2017" @default.
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