Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures

arXiv:2306.15012v3 Announce Type: replace-cross
Abstract: Separating signals from an additive mixture may be an unnecessarily hard problem when one is only interested in specific properties of a given signal. In this work, we tackle simpler "statistical component separation" problems that focus on recovering a predefined set of statistical descriptors of a target signal from a noisy mixture. Assuming access to samples of the noise process, we investigate a method devised to match the statistics of the solution candidate corrupted by …

abstract arxiv astro-ph.im cs.lg eess.sp focus recovery set signal statistical stat.ml type work