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W. Lin and T. Matsumoto, "An Efficiency-Complexity Controllable Rate Adaptive Lossy Source Coding—Hybrid Majority Voting Code," in IEEE Communications Letters, vol. 22, no. 12, pp. 2419-2422, Dec. 2018. doi: 10.1109/LCOMM.2018.2874220

An efficiency-complexity controllable rate adaptive lossy source coding-hybrid majority voting code

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Author: Lin, Wensheng1; Matsumoto, Tad1,2
Organizations: 1School of Information Science, Japan Advanced Institute of Science and Technology, Nomi 923-1292, Japan
2Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019052416988
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2019-05-24
Description:

Abstract

This letter proposes a practical source coding scheme, so-called hybrid majority voting (HMV) code, for lossy compression with a discrete memoryless source. Inspired by the coding scheme used in the classic rate-distortion theorem, we find a series of basic MV codes and analyze their rate-distortion performance. We then present an algorithm to find two component MV codes and apply them to lossy compression, group by group, to construct HMV codes. Finally, we show an example of joint source-channel coding based on the HMV code. The performance evaluation indicates that the HMV code makes it possible to easily control efficiency and complexity.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 22
Issue: 12
Pages: 2419 - 2422
DOI: 10.1109/LCOMM.2018.2874220
OADOI: https://oadoi.org/10.1109/LCOMM.2018.2874220
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
discrete memoryless source
lossy source coding
non-linear compression
rate adaptation
rate-distortion
Article
Funding: This work is funded in part by China Scholarship Council (CSC) and in part by Japan Advanced Institute of Science and Technology (JAIST) Core-to-Core Program.
Copyright information: © 2018 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.