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Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory
2011
Proceedings of the Royal Society A
Removing noise from piecewise constant (PWC) signals is a challenging signal processing problem arising in many practical contexts. For example, in exploration geosciences, noisy drill hole records need to be separated into stratigraphic zones, and in biophysics, jumps between molecular dwell states have to be extracted from noisy fluorescence microscopy signals. Many PWC denoising methods exist, including total variation regularization, mean shift clustering, stepwise jump placement, running
doi:10.1098/rspa.2010.0671
pmid:22003312
pmcid:PMC3191861
fatcat:2v2dzj2itjda3lmrdgnh5kuuly