Skip to Main content Skip to Navigation
Conference papers

An optimized version of non-negative OMP

Abstract : This article addresses least-squares minimization under sparsity and non-negativity constraints. We propose a recursive implementation of Non-Negative Orthogonal Matching Pursuit (NNOMP) based on the active set method for solving least-squares subproblems. We further propose an improvement of NNOMP, named support-Shrinkage NNOMP (SNNOMP), based on the shrinkage of the support of iterates when some coordinates vanish. SNNOMP is compared with the existing versions of NNOMP for a sparse deconvolution problem.
Document type :
Conference papers
Complete list of metadatas

Cited literature [13 references]  Display  Hide  Download

https://hal.univ-lorraine.fr/hal-01585253
Contributor : Charles Soussen <>
Submitted on : Monday, September 11, 2017 - 1:59:09 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:36 PM

File

Nguyen17.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01585253, version 1

Citation

Thi Thanh Nguyen, Charles Soussen, Jérôme Idier, El-Hadi Djermoune. An optimized version of non-negative OMP. XXVIe Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juan-les-Pins, France. ⟨hal-01585253⟩

Share

Metrics

Record views

410

Files downloads

546