Jump preserving signal reconstruction using vertical weighting.
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Publication:1875058
DOI10.1016/S0362-546X(01)00180-8zbMath1043.94521WikidataQ118592582 ScholiaQ118592582MaRDI QIDQ1875058
Mirosław Pawlak, Ewaryst Rafajłowicz
Publication date: 26 August 2004
Published in: Nonlinear Analysis. Theory, Methods \& Applications. Series A: Theory and Methods (Search for Journal in Brave)
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Statistical aspects of information-theoretic topics (62B10)
Related Items (9)
Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression ⋮ Strong consistency of the local linear relative regression estimator for censored data ⋮ Learning shape sensitive descriptors for classifying functional data ⋮ On detecting jumps in time series: nonparametric setting ⋮ A Bayesian View on Detecting Drifts by Nonparametric Methods ⋮ On the distribution of the clipping median under a mixture model ⋮ Optimal sequential kernel detection for dependent processes ⋮ NP-Optimal Kernels for Nonparametric Sequential Detection Rules ⋮ Random Walks with Drift – A Sequential Approach
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