Towards a Robust Imprecise Linear Deconvolution

DOI10.1007/978-3-642-33042-1_7zbMath1398.94067OpenAlexW145364129MaRDI QIDQ2805770

Oliver Strauss, Agnès Rico

Publication date: 13 May 2016

Published in: Synergies of Soft Computing and Statistics for Intelligent Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-33042-1_7

zbMATH Keywords

robustnessinverse problemdeconvolutionChoquet capacities

Mathematics Subject Classification ID

Modulation and demodulation in information and communication theory (94A14)

Cites Work

• Imprecise expectations for imprecise linear filtering
• Efficient iterative algorithms for bounding the inverse of a matrix
• On the granularity of summative kernels
• Maximum likelihood restoration and choice of smoothing parameter in deconvolution of image data subject to Poisson noise.
• Iterative algorithms for large partitioned linear systems, with applications to image reconstruction
• Non-additive measure and integral
• The symmetric and asymmetric Choquet integrals on finite spaces for decision making
• Towards interval-based non-additive deconvolution in signal processing
• Continuous minimax optimization using modal intervals
• Theory of capacities
• PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING
• Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method

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