Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/85157| Author(s): | André Luiz Pilastri João Manuel R. S. Tavares |
| Title: | Reconstruction Algorithms in Compressive Sensing: An Overview |
| Issue Date: | 2016-02-03 |
| Abstract: | The theory Compressive Sensing (CS) has provided a newacquisition strategy and recovery with good in the image processing area.This theory guarantees to recover a signal with high probability from areduced sampling rate below the Nyquist-Shannon limit. The problem ofrecovering the original signal from the samples consists in solving an optimizationproblem. This article presents an overview of reconstructionalgorithms for sparse signal recovery in CS, these algorithms may bebroadly divided into six types. We have provided a comprehensive surveyof the numerous reconstruction algorithms in CS aiming to achievecomputational efficiency |
| Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
| Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
| URI: | https://repositorio-aberto.up.pt/handle/10216/85157 |
| Source: | 11th edition of the Doctoral Symposium in Informatics Engineering (DSIE-16) |
| Document Type: | Artigo em Livro de Atas de Conferência Nacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Nacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 139664.pdf | Paper | 342.33 kB | Adobe PDF |  View/Open |
This item is licensed under a Creative Commons License
