期刊
IEEE SIGNAL PROCESSING LETTERS
卷 20, 期 11, 页码 1054-1057出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2013.2278339
关键词
Convex nonsmooth optimization; denoising; fused lasso; nonlinear smoothing; nonparametric regression; regularized least-squares; taut string; total variation
A very fast noniterative algorithm is proposed for denoising or smoothing one-dimensional discrete signals, by solving the total variation regularized least-squares problem or the related fused lasso problem. A C code implementation is available on the web page of the author.
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