Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$-norm Minimization with Application to Signal Processing
From MaRDI portal
Publication:2945952
DOI10.1007/978-3-319-22804-4_2zbMath1360.94058OpenAlexW1610303285MaRDI QIDQ2945952
Francesc Aràndiga, Dionisio F. Yáñez, Pep Mulet
Publication date: 15 September 2015
Published in: Curves and Surfaces (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-22804-4_2
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Cell-average multiresolution based on local polynomial regression. application to image processing
- Point-value WENO multiresolution applications to stable image compression
- Exact error bounds for the reconstruction processes using interpolating wavelets
- Stability of multiscale transformations
- Nonlinear multiscale decompositions: The approach of A. Harten
- Tensor product multiresolution analysis with error control for compact image representation
- On the stability of the PPH nonlinear multiresolution
- Discrete multi-resolution analysis and generalized wavelets
- Generalized wavelets design using kernel methods. Application to signal processing
- A fully adaptive multiresolution scheme for image processing
- Graph Implementations for Nonsmooth Convex Programs
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
- ENO Multiresolution Schemes with General Discretizations
- Biorthogonal bases of compactly supported wavelets
- Multiresolution Based on Weighted Averages of the Hat Function I: Linear Reconstruction Techniques
- Multiresolution Based on Weighted Averages of the Hat Function II: Nonlinear Reconstruction Techniques
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- Local Regression and Likelihood
- Multiresolution Representation of Data: A General Framework
- Stability Through Synchronization in Nonlinear Multiscale Transformations
This page was built for publication: Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$-norm Minimization with Application to Signal Processing
