Mixture-model-based signal denoising
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Publication:2477574
DOI10.1007/S11634-006-0002-8zbMath1131.94008OpenAlexW2081452652MaRDI QIDQ2477574
Etienne Côme, Allou Samé, Latifa Oukhellou, Patrice Aknin
Publication date: 14 March 2008
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11634-006-0002-8
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
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- A maximum likelihood methodology for clusterwise linear regression
- The use of mixtures for dealing with non-normal regression errors
- Exact mean integrated squared error
- Estimating the dimension of a model
- Data dependent wavelet thresholding in nonparametric regression with change-point applications
- Density estimation by wavelet thresholding
- A theory for multiresolution signal decomposition: the wavelet representation
- Mixture Models, Outliers, and the EM Algorithm
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