University of Oulu

M. Leinonen, M. Codreanu and M. Juntti, "Practical Compression Methods for Quantized Compressed Sensing," IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Paris, France, 2019, pp. 756-761. doi: 10.1109/INFCOMW.2019.8845224

Practical compression methods for quantized compressed sensing

Saved in:
Author: Leinonen, Markus1; Codreanu, Marian2; Juntti, Markku1
Organizations: 1Centre for Wireless Communications – Radio Technologies, FI-90014, University of Oulu, Finland
2Department of Science and Technology, Linköping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-10-04


In order to save energy of low-power sensors in Internet of Things applications, minimizing the number of bits to compress and communicate real-valued sources with a predefined distortion becomes crucial. In such a lossy source coding context, we study rate-distortion (RD) performance of various single-sensor quantized compressed sensing (QCS) schemes for compressing sparse signals via quantized/encoded noisy linear measurements. The paper combines and refines the recent advances of QCS algorithm designs and theoretical analysis. In particular, several practical symbol-by-symbol quantizer based QCS methods of different complexities relying on 1) compress-and-estimate, 2) estimate-and-compress, and 3) support-estimation-and-compress strategies are proposed. Simulation results demonstrate the RD performances of different schemes and compare them to the information-theoretic limits.

see all

ISBN: 978-1-7281-1878-9
ISBN Print: 978-1-7281-1879-6
Pages: 756 - 761
DOI: 10.1109/INFCOMW.2019.8845224
Host publication: IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Conference: IEEE INFOCOM Conference on Computer Communications Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The work of M. Leinonen and M. Codreanu has been financially supported by Infotech Oulu. M. Codreanu would like to acknowledge the support of the European Union's Horizon 2020 research and innovation programme under the Marie Skodowska-Curie Grant Agreement No. 793402 (COMPRESS NETS). The research has also been financially supported by the Academy of Finland, and Academy of Finland 6Genesis Flagship (grant 318927).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.